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  • Log all files saved on XP system.

    - by Jason Taylor
    I have a user that frequently saves items (or even forgets to save) to places that he forgets. Usually a simple search finds them, but not always. Is there any way to log/track the most recently saved files? It would be great to be the last "saved" files as the recent documents feature is unreliable if he constantly opens documents in his search for the file he just saved. Alternatively, any ideas on how to control this situation?

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  • Ubuntu 10.10 and Windows 7 (TrueCrypt) Multi-boot Problems

    - by Samuel Taylor
    I have now been searching days for a solution but have found nothing. I have Ubuntu 10.10 and Windows 7 with TrueCrypt as a multi-boot. It was working fine for a few weeks until I needed to reinstall Ubuntu. If I have the boot flag on the partition where Windows 7 is install (This is where the boot flags was when working before.), it boots fine in to Windows 7 but when pressing Esc it can't find grub2. If I have the boot flag on the partition where Ubuntu is install, it boots fine in to Ubuntu (by pressing Esc or typing the password) but unable to access Windows. I have tried reinstalling TrueCrypt Boot loader and repairing the header but it have no affect. My Partitions: sda1 - Windows 7 Recovery (GRUB2) sda2 - Windows 7 (TrueCrypt Boot Loader) sda3 - Ubuntu 10.10 (/) sda4 - Extended sda5 - Swap sda6 - Ubuntu (/home) Does anyone have any ideas? Thanks Sam

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  • Magical moving desktop icons

    - by Nathan Taylor
    I have encountered a very strange behavior in Windows 7 that I cannot seem to identify and I have never seen or heard of on any system configuration. Whenever I move my mouse to the left-most edge of my primary display (centered in 3-display setup), my desktop icons magically move away from the cursor (up or down and to the right). It only happens when my desktop has focus and the mouse is positioned on the left, top or bottom edge of the main display. Moving the mouse all the way to the right edge of my right secondary display causes the mouse icons to snap back into their correct position. Ridiculous video of the issue My setup is 3 displays on two display adapters. The main display is running at 2560x1600, connected to the machine via a USB-powered DVI-D to DisplayPort adapter and is driven by an NVIDIA NVS 3100M video card. The secondary displays are running at 1440x900 and 1200x1920 and are driven by integrated Intel HD Graphics (mobile). It seems like some kind of panning behavior, but it's obviously not working as expected. I have updated all of my drivers, but no change. It's probably worth noting that the desktop icons are set to auto-arrange.

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  • VM's, virtual networks and my home network.

    - by Jason Taylor
    I want to create a small lab of VM's to test out networking with. I have two PC's running VMWare and I need the VM's on these two PC's to be connected to their own LAN. I am planning on bridging the VM's into my home network. My home network and PC's are in the 192.168.0.0 range, but I want my VM's to be in 10.1.0.0. If I do it this way (Bridging the VM's on both hosts into the network) will the VM's be able to communicate? Will my home router freak out seeing two different subnets? Is there another, easier way to connect the virtual lan's on two vmware workstations together?

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  • How could all of my hard drives fail at once?

    - by Taylor
    I have an Ubuntu 13.04 server. Today I found the box had crashed. I restarted it, and now every single hard drive's partition table is missing. (1 SSD for /boot, /, and 3 2TB drives for RAID). I have the SSD connected to a laptop VIA USB-SATA cable, and sure enough, the partition table is missing. This tells me that the Motherboard / SATA controller / software actually broke the drives, not that they just can't be read correctly. Something similar happened to only the SSD a few months ago, and I was forced to just re-partition it. How the heck could his have happened? Bad Motherboard or SATA controller?

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  • Customising Windows 8 Start Screen Tiles

    - by Joe Taylor
    We are looking for an effective way to manage the start screen in Windows 8. So far using WSIM we can add certain start tiles by using the OOBE System - shell setup - SquareTiles and WideTiles properties. However this only seems to work for square tiles and not wide tiles, if anyone has any insight on this it would eb appreciated. However the main question is has anyone managed to modify this screen using a GPO, we can add application shortcuts to the Start menu list on the All Apps page using a create shortcut to all users start menu policy. However as we occasionally deploy apps throughout the year in line with the courses requirements we would want to be able to put a shortcut on the home screen. Is it possible?

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  • How does KMS (Windows Server 2008 R2) differentiate clients?

    - by Joe Taylor
    I have recently installed a KMS Server in our domain and deployed 75 new Windows 7 machines using an image I made using Acronis True Image. There are 2 variations of this image rolled out currently. When I go to activate the machines it returns that the KMS count is not sufficient. On the server with a slmgr /dlv it shows: Key Management Service is enabled on this machine. Current count: 2 Listening on Port: 1688 DNS publishing enabled KMS Priority: Normal KMS cumulative requests received from clients: 366 Failed requests received: 2 Requests with License status unlicensed: 0 Requests with License status licensed: 0 Requests with License status Initial Grace period: 1 Requests with License statusLicense expired or hardware out of tolerance: 0 Requests with License status Non genuine grace period: 0 Requests with License status Notification: 363 Is it to do with the fact that I've used the same image for all the PC's? If so how do I get round this. Would changing the SID help? OK knowing I've been thick whats the best way to rectify the situation. Can I sysprep the machines to OOBE on each individual machine? Or would NewSID work?

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  • A Taxonomy of Numerical Methods v1

    - by JoshReuben
    Numerical Analysis – When, What, (but not how) Once you understand the Math & know C++, Numerical Methods are basically blocks of iterative & conditional math code. I found the real trick was seeing the forest for the trees – knowing which method to use for which situation. Its pretty easy to get lost in the details – so I’ve tried to organize these methods in a way that I can quickly look this up. I’ve included links to detailed explanations and to C++ code examples. I’ve tried to classify Numerical methods in the following broad categories: Solving Systems of Linear Equations Solving Non-Linear Equations Iteratively Interpolation Curve Fitting Optimization Numerical Differentiation & Integration Solving ODEs Boundary Problems Solving EigenValue problems Enjoy – I did ! Solving Systems of Linear Equations Overview Solve sets of algebraic equations with x unknowns The set is commonly in matrix form Gauss-Jordan Elimination http://en.wikipedia.org/wiki/Gauss%E2%80%93Jordan_elimination C++: http://www.codekeep.net/snippets/623f1923-e03c-4636-8c92-c9dc7aa0d3c0.aspx Produces solution of the equations & the coefficient matrix Efficient, stable 2 steps: · Forward Elimination – matrix decomposition: reduce set to triangular form (0s below the diagonal) or row echelon form. If degenerate, then there is no solution · Backward Elimination –write the original matrix as the product of ints inverse matrix & its reduced row-echelon matrix à reduce set to row canonical form & use back-substitution to find the solution to the set Elementary ops for matrix decomposition: · Row multiplication · Row switching · Add multiples of rows to other rows Use pivoting to ensure rows are ordered for achieving triangular form LU Decomposition http://en.wikipedia.org/wiki/LU_decomposition C++: http://ganeshtiwaridotcomdotnp.blogspot.co.il/2009/12/c-c-code-lu-decomposition-for-solving.html Represent the matrix as a product of lower & upper triangular matrices A modified version of GJ Elimination Advantage – can easily apply forward & backward elimination to solve triangular matrices Techniques: · Doolittle Method – sets the L matrix diagonal to unity · Crout Method - sets the U matrix diagonal to unity Note: both the L & U matrices share the same unity diagonal & can be stored compactly in the same matrix Gauss-Seidel Iteration http://en.wikipedia.org/wiki/Gauss%E2%80%93Seidel_method C++: http://www.nr.com/forum/showthread.php?t=722 Transform the linear set of equations into a single equation & then use numerical integration (as integration formulas have Sums, it is implemented iteratively). an optimization of Gauss-Jacobi: 1.5 times faster, requires 0.25 iterations to achieve the same tolerance Solving Non-Linear Equations Iteratively find roots of polynomials – there may be 0, 1 or n solutions for an n order polynomial use iterative techniques Iterative methods · used when there are no known analytical techniques · Requires set functions to be continuous & differentiable · Requires an initial seed value – choice is critical to convergence à conduct multiple runs with different starting points & then select best result · Systematic - iterate until diminishing returns, tolerance or max iteration conditions are met · bracketing techniques will always yield convergent solutions, non-bracketing methods may fail to converge Incremental method if a nonlinear function has opposite signs at 2 ends of a small interval x1 & x2, then there is likely to be a solution in their interval – solutions are detected by evaluating a function over interval steps, for a change in sign, adjusting the step size dynamically. Limitations – can miss closely spaced solutions in large intervals, cannot detect degenerate (coinciding) solutions, limited to functions that cross the x-axis, gives false positives for singularities Fixed point method http://en.wikipedia.org/wiki/Fixed-point_iteration C++: http://books.google.co.il/books?id=weYj75E_t6MC&pg=PA79&lpg=PA79&dq=fixed+point+method++c%2B%2B&source=bl&ots=LQ-5P_taoC&sig=lENUUIYBK53tZtTwNfHLy5PEWDk&hl=en&sa=X&ei=wezDUPW1J5DptQaMsIHQCw&redir_esc=y#v=onepage&q=fixed%20point%20method%20%20c%2B%2B&f=false Algebraically rearrange a solution to isolate a variable then apply incremental method Bisection method http://en.wikipedia.org/wiki/Bisection_method C++: http://numericalcomputing.wordpress.com/category/algorithms/ Bracketed - Select an initial interval, keep bisecting it ad midpoint into sub-intervals and then apply incremental method on smaller & smaller intervals – zoom in Adv: unaffected by function gradient à reliable Disadv: slow convergence False Position Method http://en.wikipedia.org/wiki/False_position_method C++: http://www.dreamincode.net/forums/topic/126100-bisection-and-false-position-methods/ Bracketed - Select an initial interval , & use the relative value of function at interval end points to select next sub-intervals (estimate how far between the end points the solution might be & subdivide based on this) Newton-Raphson method http://en.wikipedia.org/wiki/Newton's_method C++: http://www-users.cselabs.umn.edu/classes/Summer-2012/csci1113/index.php?page=./newt3 Also known as Newton's method Convenient, efficient Not bracketed – only a single initial guess is required to start iteration – requires an analytical expression for the first derivative of the function as input. Evaluates the function & its derivative at each step. Can be extended to the Newton MutiRoot method for solving multiple roots Can be easily applied to an of n-coupled set of non-linear equations – conduct a Taylor Series expansion of a function, dropping terms of order n, rewrite as a Jacobian matrix of PDs & convert to simultaneous linear equations !!! Secant Method http://en.wikipedia.org/wiki/Secant_method C++: http://forum.vcoderz.com/showthread.php?p=205230 Unlike N-R, can estimate first derivative from an initial interval (does not require root to be bracketed) instead of inputting it Since derivative is approximated, may converge slower. Is fast in practice as it does not have to evaluate the derivative at each step. Similar implementation to False Positive method Birge-Vieta Method http://mat.iitm.ac.in/home/sryedida/public_html/caimna/transcendental/polynomial%20methods/bv%20method.html C++: http://books.google.co.il/books?id=cL1boM2uyQwC&pg=SA3-PA51&lpg=SA3-PA51&dq=Birge-Vieta+Method+c%2B%2B&source=bl&ots=QZmnDTK3rC&sig=BPNcHHbpR_DKVoZXrLi4nVXD-gg&hl=en&sa=X&ei=R-_DUK2iNIjzsgbE5ID4Dg&redir_esc=y#v=onepage&q=Birge-Vieta%20Method%20c%2B%2B&f=false combines Horner's method of polynomial evaluation (transforming into lesser degree polynomials that are more computationally efficient to process) with Newton-Raphson to provide a computational speed-up Interpolation Overview Construct new data points for as close as possible fit within range of a discrete set of known points (that were obtained via sampling, experimentation) Use Taylor Series Expansion of a function f(x) around a specific value for x Linear Interpolation http://en.wikipedia.org/wiki/Linear_interpolation C++: http://www.hamaluik.com/?p=289 Straight line between 2 points à concatenate interpolants between each pair of data points Bilinear Interpolation http://en.wikipedia.org/wiki/Bilinear_interpolation C++: http://supercomputingblog.com/graphics/coding-bilinear-interpolation/2/ Extension of the linear function for interpolating functions of 2 variables – perform linear interpolation first in 1 direction, then in another. Used in image processing – e.g. texture mapping filter. Uses 4 vertices to interpolate a value within a unit cell. Lagrange Interpolation http://en.wikipedia.org/wiki/Lagrange_polynomial C++: http://www.codecogs.com/code/maths/approximation/interpolation/lagrange.php For polynomials Requires recomputation for all terms for each distinct x value – can only be applied for small number of nodes Numerically unstable Barycentric Interpolation http://epubs.siam.org/doi/pdf/10.1137/S0036144502417715 C++: http://www.gamedev.net/topic/621445-barycentric-coordinates-c-code-check/ Rearrange the terms in the equation of the Legrange interpolation by defining weight functions that are independent of the interpolated value of x Newton Divided Difference Interpolation http://en.wikipedia.org/wiki/Newton_polynomial C++: http://jee-appy.blogspot.co.il/2011/12/newton-divided-difference-interpolation.html Hermite Divided Differences: Interpolation polynomial approximation for a given set of data points in the NR form - divided differences are used to approximately calculate the various differences. For a given set of 3 data points , fit a quadratic interpolant through the data Bracketed functions allow Newton divided differences to be calculated recursively Difference table Cubic Spline Interpolation http://en.wikipedia.org/wiki/Spline_interpolation C++: https://www.marcusbannerman.co.uk/index.php/home/latestarticles/42-articles/96-cubic-spline-class.html Spline is a piecewise polynomial Provides smoothness – for interpolations with significantly varying data Use weighted coefficients to bend the function to be smooth & its 1st & 2nd derivatives are continuous through the edge points in the interval Curve Fitting A generalization of interpolating whereby given data points may contain noise à the curve does not necessarily pass through all the points Least Squares Fit http://en.wikipedia.org/wiki/Least_squares C++: http://www.ccas.ru/mmes/educat/lab04k/02/least-squares.c Residual – difference between observed value & expected value Model function is often chosen as a linear combination of the specified functions Determines: A) The model instance in which the sum of squared residuals has the least value B) param values for which model best fits data Straight Line Fit Linear correlation between independent variable and dependent variable Linear Regression http://en.wikipedia.org/wiki/Linear_regression C++: http://www.oocities.org/david_swaim/cpp/linregc.htm Special case of statistically exact extrapolation Leverage least squares Given a basis function, the sum of the residuals is determined and the corresponding gradient equation is expressed as a set of normal linear equations in matrix form that can be solved (e.g. using LU Decomposition) Can be weighted - Drop the assumption that all errors have the same significance –-> confidence of accuracy is different for each data point. Fit the function closer to points with higher weights Polynomial Fit - use a polynomial basis function Moving Average http://en.wikipedia.org/wiki/Moving_average C++: http://www.codeproject.com/Articles/17860/A-Simple-Moving-Average-Algorithm Used for smoothing (cancel fluctuations to highlight longer-term trends & cycles), time series data analysis, signal processing filters Replace each data point with average of neighbors. Can be simple (SMA), weighted (WMA), exponential (EMA). Lags behind latest data points – extra weight can be given to more recent data points. Weights can decrease arithmetically or exponentially according to distance from point. Parameters: smoothing factor, period, weight basis Optimization Overview Given function with multiple variables, find Min (or max by minimizing –f(x)) Iterative approach Efficient, but not necessarily reliable Conditions: noisy data, constraints, non-linear models Detection via sign of first derivative - Derivative of saddle points will be 0 Local minima Bisection method Similar method for finding a root for a non-linear equation Start with an interval that contains a minimum Golden Search method http://en.wikipedia.org/wiki/Golden_section_search C++: http://www.codecogs.com/code/maths/optimization/golden.php Bisect intervals according to golden ratio 0.618.. Achieves reduction by evaluating a single function instead of 2 Newton-Raphson Method Brent method http://en.wikipedia.org/wiki/Brent's_method C++: http://people.sc.fsu.edu/~jburkardt/cpp_src/brent/brent.cpp Based on quadratic or parabolic interpolation – if the function is smooth & parabolic near to the minimum, then a parabola fitted through any 3 points should approximate the minima – fails when the 3 points are collinear , in which case the denominator is 0 Simplex Method http://en.wikipedia.org/wiki/Simplex_algorithm C++: http://www.codeguru.com/cpp/article.php/c17505/Simplex-Optimization-Algorithm-and-Implemetation-in-C-Programming.htm Find the global minima of any multi-variable function Direct search – no derivatives required At each step it maintains a non-degenerative simplex – a convex hull of n+1 vertices. Obtains the minimum for a function with n variables by evaluating the function at n-1 points, iteratively replacing the point of worst result with the point of best result, shrinking the multidimensional simplex around the best point. Point replacement involves expanding & contracting the simplex near the worst value point to determine a better replacement point Oscillation can be avoided by choosing the 2nd worst result Restart if it gets stuck Parameters: contraction & expansion factors Simulated Annealing http://en.wikipedia.org/wiki/Simulated_annealing C++: http://code.google.com/p/cppsimulatedannealing/ Analogy to heating & cooling metal to strengthen its structure Stochastic method – apply random permutation search for global minima - Avoid entrapment in local minima via hill climbing Heating schedule - Annealing schedule params: temperature, iterations at each temp, temperature delta Cooling schedule – can be linear, step-wise or exponential Differential Evolution http://en.wikipedia.org/wiki/Differential_evolution C++: http://www.amichel.com/de/doc/html/ More advanced stochastic methods analogous to biological processes: Genetic algorithms, evolution strategies Parallel direct search method against multiple discrete or continuous variables Initial population of variable vectors chosen randomly – if weighted difference vector of 2 vectors yields a lower objective function value then it replaces the comparison vector Many params: #parents, #variables, step size, crossover constant etc Convergence is slow – many more function evaluations than simulated annealing Numerical Differentiation Overview 2 approaches to finite difference methods: · A) approximate function via polynomial interpolation then differentiate · B) Taylor series approximation – additionally provides error estimate Finite Difference methods http://en.wikipedia.org/wiki/Finite_difference_method C++: http://www.wpi.edu/Pubs/ETD/Available/etd-051807-164436/unrestricted/EAMPADU.pdf Find differences between high order derivative values - Approximate differential equations by finite differences at evenly spaced data points Based on forward & backward Taylor series expansion of f(x) about x plus or minus multiples of delta h. Forward / backward difference - the sums of the series contains even derivatives and the difference of the series contains odd derivatives – coupled equations that can be solved. Provide an approximation of the derivative within a O(h^2) accuracy There is also central difference & extended central difference which has a O(h^4) accuracy Richardson Extrapolation http://en.wikipedia.org/wiki/Richardson_extrapolation C++: http://mathscoding.blogspot.co.il/2012/02/introduction-richardson-extrapolation.html A sequence acceleration method applied to finite differences Fast convergence, high accuracy O(h^4) Derivatives via Interpolation Cannot apply Finite Difference method to discrete data points at uneven intervals – so need to approximate the derivative of f(x) using the derivative of the interpolant via 3 point Lagrange Interpolation Note: the higher the order of the derivative, the lower the approximation precision Numerical Integration Estimate finite & infinite integrals of functions More accurate procedure than numerical differentiation Use when it is not possible to obtain an integral of a function analytically or when the function is not given, only the data points are Newton Cotes Methods http://en.wikipedia.org/wiki/Newton%E2%80%93Cotes_formulas C++: http://www.siafoo.net/snippet/324 For equally spaced data points Computationally easy – based on local interpolation of n rectangular strip areas that is piecewise fitted to a polynomial to get the sum total area Evaluate the integrand at n+1 evenly spaced points – approximate definite integral by Sum Weights are derived from Lagrange Basis polynomials Leverage Trapezoidal Rule for default 2nd formulas, Simpson 1/3 Rule for substituting 3 point formulas, Simpson 3/8 Rule for 4 point formulas. For 4 point formulas use Bodes Rule. Higher orders obtain more accurate results Trapezoidal Rule uses simple area, Simpsons Rule replaces the integrand f(x) with a quadratic polynomial p(x) that uses the same values as f(x) for its end points, but adds a midpoint Romberg Integration http://en.wikipedia.org/wiki/Romberg's_method C++: http://code.google.com/p/romberg-integration/downloads/detail?name=romberg.cpp&can=2&q= Combines trapezoidal rule with Richardson Extrapolation Evaluates the integrand at equally spaced points The integrand must have continuous derivatives Each R(n,m) extrapolation uses a higher order integrand polynomial replacement rule (zeroth starts with trapezoidal) à a lower triangular matrix set of equation coefficients where the bottom right term has the most accurate approximation. The process continues until the difference between 2 successive diagonal terms becomes sufficiently small. Gaussian Quadrature http://en.wikipedia.org/wiki/Gaussian_quadrature C++: http://www.alglib.net/integration/gaussianquadratures.php Data points are chosen to yield best possible accuracy – requires fewer evaluations Ability to handle singularities, functions that are difficult to evaluate The integrand can include a weighting function determined by a set of orthogonal polynomials. Points & weights are selected so that the integrand yields the exact integral if f(x) is a polynomial of degree <= 2n+1 Techniques (basically different weighting functions): · Gauss-Legendre Integration w(x)=1 · Gauss-Laguerre Integration w(x)=e^-x · Gauss-Hermite Integration w(x)=e^-x^2 · Gauss-Chebyshev Integration w(x)= 1 / Sqrt(1-x^2) Solving ODEs Use when high order differential equations cannot be solved analytically Evaluated under boundary conditions RK for systems – a high order differential equation can always be transformed into a coupled first order system of equations Euler method http://en.wikipedia.org/wiki/Euler_method C++: http://rosettacode.org/wiki/Euler_method First order Runge–Kutta method. Simple recursive method – given an initial value, calculate derivative deltas. Unstable & not very accurate (O(h) error) – not used in practice A first-order method - the local error (truncation error per step) is proportional to the square of the step size, and the global error (error at a given time) is proportional to the step size In evolving solution between data points xn & xn+1, only evaluates derivatives at beginning of interval xn à asymmetric at boundaries Higher order Runge Kutta http://en.wikipedia.org/wiki/Runge%E2%80%93Kutta_methods C++: http://www.dreamincode.net/code/snippet1441.htm 2nd & 4th order RK - Introduces parameterized midpoints for more symmetric solutions à accuracy at higher computational cost Adaptive RK – RK-Fehlberg – estimate the truncation at each integration step & automatically adjust the step size to keep error within prescribed limits. At each step 2 approximations are compared – if in disagreement to a specific accuracy, the step size is reduced Boundary Value Problems Where solution of differential equations are located at 2 different values of the independent variable x à more difficult, because cannot just start at point of initial value – there may not be enough starting conditions available at the end points to produce a unique solution An n-order equation will require n boundary conditions – need to determine the missing n-1 conditions which cause the given conditions at the other boundary to be satisfied Shooting Method http://en.wikipedia.org/wiki/Shooting_method C++: http://ganeshtiwaridotcomdotnp.blogspot.co.il/2009/12/c-c-code-shooting-method-for-solving.html Iteratively guess the missing values for one end & integrate, then inspect the discrepancy with the boundary values of the other end to adjust the estimate Given the starting boundary values u1 & u2 which contain the root u, solve u given the false position method (solving the differential equation as an initial value problem via 4th order RK), then use u to solve the differential equations. Finite Difference Method For linear & non-linear systems Higher order derivatives require more computational steps – some combinations for boundary conditions may not work though Improve the accuracy by increasing the number of mesh points Solving EigenValue Problems An eigenvalue can substitute a matrix when doing matrix multiplication à convert matrix multiplication into a polynomial EigenValue For a given set of equations in matrix form, determine what are the solution eigenvalue & eigenvectors Similar Matrices - have same eigenvalues. Use orthogonal similarity transforms to reduce a matrix to diagonal form from which eigenvalue(s) & eigenvectors can be computed iteratively Jacobi method http://en.wikipedia.org/wiki/Jacobi_method C++: http://people.sc.fsu.edu/~jburkardt/classes/acs2_2008/openmp/jacobi/jacobi.html Robust but Computationally intense – use for small matrices < 10x10 Power Iteration http://en.wikipedia.org/wiki/Power_iteration For any given real symmetric matrix, generate the largest single eigenvalue & its eigenvectors Simplest method – does not compute matrix decomposition à suitable for large, sparse matrices Inverse Iteration Variation of power iteration method – generates the smallest eigenvalue from the inverse matrix Rayleigh Method http://en.wikipedia.org/wiki/Rayleigh's_method_of_dimensional_analysis Variation of power iteration method Rayleigh Quotient Method Variation of inverse iteration method Matrix Tri-diagonalization Method Use householder algorithm to reduce an NxN symmetric matrix to a tridiagonal real symmetric matrix vua N-2 orthogonal transforms     Whats Next Outside of Numerical Methods there are lots of different types of algorithms that I’ve learned over the decades: Data Mining – (I covered this briefly in a previous post: http://geekswithblogs.net/JoshReuben/archive/2007/12/31/ssas-dm-algorithms.aspx ) Search & Sort Routing Problem Solving Logical Theorem Proving Planning Probabilistic Reasoning Machine Learning Solvers (eg MIP) Bioinformatics (Sequence Alignment, Protein Folding) Quant Finance (I read Wilmott’s books – interesting) Sooner or later, I’ll cover the above topics as well.

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  • Google I/O 2011: Querying Freebase: Get More From MQL

    Google I/O 2011: Querying Freebase: Get More From MQL Jamie Taylor Freebase's query language, MQL, lets you access data about more than 20 million curated entities and the connections between them. Level up your Freebase query skills with advanced syntax, optimisation tricks, schema introsopection, metaschema, and more. From: GoogleDevelopers Views: 2007 15 ratings Time: 46:49 More in Science & Technology

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  • Tab Sweep: CDI Tutorial, Vertical Clustering, Monitoring, Vorpal, SPARC T4, ...

    - by arungupta
    Recent Tips and News on Java, Java EE 6, GlassFish & more : • Tutorial - Introduction to CDI - Contexts and Dependency Injection for Java EE (JSR 299) (Mark Struberg, Peter Muir) • Clustering with Glassfish 3.1 (Javing) • Two Way Communication in JMS (Lukasz Budnik) • Glassfish – Vertical clustering with multiple domains (Alexandru Ersenie) • Setting up Glassfish Monitoring – handling connection problems (Jacek Milewski) • Screencast: Developing Discoverable XMPP Components with Vorpal (Chuk Munn Lee) • Java EE Application Servers, SPARC T4, Solaris Containers, and Resource Pools (Jeff Taylor)

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  • MySQL Connect in Only 5 Days – Some Fun Stuff!

    - by Bertrand Matthelié
    72 1024x768 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} We’ve recently blogged about the various MySQL Connect sessions focused on MySQL Cluster, InnoDB, the MySQL Optimizer and MySQL Replication. But we also wanted to draw your attention to some great opportunities to network and have fun! That’s also part of what makes a good conference... MySQL Connect Reception San Francisco Hilton - Continental Ballroom 6:30 p.m.–8:30 p.m. A great opportunity to network with Oracle’s MySQL engineers, partners having a booth in the exhibition hall and just about everyone at MySQL Connect. Long time MySQL users will see many familiar faces, and new users will be able to build valuable relationships. A must attend reception for sure! Taylor Street Open House 7:00 p.m.–9:00 p.m. After two intense days at MySQL Connect, you’ll get the chance to relax and continue networking at the Taylor Street Café Open House on Sunday evening. Perhaps recharging batteries for a full week at Oracle OpenWorld… The Oracle OpenWorld Music Festival Starting on Sunday eve and running through the entire duration of Oracle OpenWorld, the first Oracle OpenWorld Musical Festival features some of today’s breakthrough musicians. It’s five nights of back-to-back performances in the heart of San Francisco. Registered Oracle conference attendees get free admission, so remember your badge when you head to a show. More information here. You can check out the full MySQL Connect program here as well as in the September edition of the MySQL newsletter. Not registered yet? You can still save US$ 300 over the on-site fee – Register Now!

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  • Oracle Service Bus Customer Panel - Choice Hotel's Deployment Description at OpenWorld

    - by Bruce Tierney
    Choice Hotels shared their Oracle Service Bus deployment during the recent Customer Panel on Oracle Service Bus.  Charlie Taylor of Choice provides an excellent in-depth description of architectural guidelines including project naming and project structure.  Below is a screenshot from the session highlighting the flow from proxy service to business service, transformation, orchestration and more: For more information about Oracle OpenWorld SOA & BPM Session, please see the Focus on SOA and BPM document 

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  • hall.dll errors

    - by Robert Elliott
    I am getting frequent BSoDs, mostly with hall.dll errors. I have Dell Inspiron laptop running Windows 7 SP1. The following file, werfault, is shown below. Can anyone help me work out what is wrong? Version=1 EventType=BlueScreen EventTime=129987824768810026 ReportType=4 Consent=1 ReportIdentifier=1c3e1c58-3b30-11e2-9074-002219f61870 IntegratorReportIdentifier=113012-32557-01 Response.type=4 DynamicSig[1].Name=OS Version DynamicSig[1].Value=6.1.7601.2.1.0.768.3 DynamicSig[2].Name=Locale ID DynamicSig[2].Value=2057 UI[2]=C:\Windows\system32\wer.dll UI[3]=Windows has recovered from an unexpected shutdown UI[4]=Windows can check online for a solution to the problem. UI[5]=&Check for solution UI[6]=&Check later UI[7]=Cancel UI[8]=Windows has recovered from an unexpected shutdown UI[9]=A problem caused Windows to stop working correctly. Windows will notify you if a solution is available. UI[10]=Close Sec[0].Key=BCCode Sec[0].Value=a Sec[1].Key=BCP1 Sec[1].Value=0000000000000000 Sec[2].Key=BCP2 Sec[2].Value=0000000000000002 Sec[3].Key=BCP3 Sec[3].Value=0000000000000000 Sec[4].Key=BCP4 Sec[4].Value=FFFFF80002C0E477 Sec[5].Key=OS Version Sec[5].Value=6_1_7601 Sec[6].Key=Service Pack Sec[6].Value=1_0 Sec[7].Key=Product Sec[7].Value=768_1 File[0].CabName=113012-32557-01.dmp File[0].Path=113012-32557-01.dmp File[0].Flags=589826 File[0].Type=2 File[0].Original.Path=C:\Windows\Minidump\113012-32557-01.dmp File[1].CabName=sysdata.xml File[1].Path=WER-75941-0.sysdata.xml File[1].Flags=589826 File[1].Type=5 File[1].Original.Path=C:\Users\Robert\AppData\Local\Temp\WER-75941-0.sysdata.xml File[2].CabName=Report.cab File[2].Path=Report.cab File[2].Flags=196608 File[2].Type=7 File[2].Original.Path=Report.cab FriendlyEventName=Shut down unexpectedly ConsentKey=BlueScreen AppName=Windows AppPath=C:\Windows\System32\WerFault.exe *********From the minidump file**** RAX = fffff88002f22150 RBX = fffffa80074141f0 RCX = 000000000000000a RDX = 0000000000000000 RSI = fffffa8007278180 RDI = 0000000000000001 R9 = 0000000000000000 R10 = fffff80002c0e477 R11 = 0000000000000000 R12 = fffffa800523e7a0 R13 = 0000000000001000 R14 = 0000000000000028 R15 = fffffa80074141f0 RBP = fffff88002f22210 RIP = fffff80002cd3fc0 RSP = fffff88002f22048 SS = 0000 GS = 002b FS = 0053 ES = 002b DS = 002b CS = 0010 Flags = 00200286 fffff800`02e99ac0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99ad0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99ae0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99af0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99b00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99b10 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99b20 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99b30 00 00 00 00 00 00 00 00 00 00 00 00 04 00 00 00 ................ fffff800`02e99b40 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e99b50 00 00 00 00 00 00 00 00 00 00 00 00 ............ fffff800`02e81928 00 00 00 00 .... fffff800`02e81924 00 00 00 00 .... fffff800`02e0a880 37 36 30 31 2E 31 37 39 34 34 2E 61 6D 64 36 34 7601.17944.amd64 fffff800`02e0a890 66 72 65 2E 77 69 6E 37 73 70 31 5F 67 64 72 2E fre.win7sp1_gdr. fffff800`02e0a8a0 31 32 30 38 33 30 2D 30 33 33 33 00 00 00 00 00 120830-0333..... fffff800`02e0a8b0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a8c0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a8d0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a8e0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a8f0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a900 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a910 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a920 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a930 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a940 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a950 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ................ fffff800`02e0a960 35 36 65 38 62 61 31 33 2D 37 30 32 39 2D 34 37 56e8ba13-7029-47 fffff800`02e0a970 32 38 2D 61 35 30 36 2D 32 64 64 62 34 61 30 63 28-a506-2ddb4a0c fffff800`02c0e000 C5 0F 85 79 02 00 00 8B 9C 24 90 00 00 00 E9 A5 ...y.....$...... fffff800`02c0e010 00 00 00 44 2B C3 45 33 C9 E8 5E 14 00 00 49 3B ...D+.E3..^...I; fffff800`02c0e020 C5 74 2B 44 8B 8C 24 90 00 00 00 48 8B C8 41 8D .t+D..$....H..A. fffff800`02c0e030 51 FF 41 3B D5 76 0D 44 8B C2 49 83 E8 01 48 8B Q.A;.v.D..I...H. fffff800`02c0e040 49 08 75 F6 48 89 79 08 41 03 D9 48 8B F8 3B DD I.u.H.y.A..H..;. fffff800`02c0e050 75 08 48 8B C7 E9 26 02 00 00 48 8B 96 98 00 00 u.H...&...H..... fffff800`02c0e060 00 48 8D 84 24 90 00 00 00 44 8B C5 48 89 44 24 .H..$....D..H.D$ fffff800`02c0e070 28 44 2B C3 45 33 C9 48 8B CE 44 88 6C 24 20 E8 (D+.E3.H..D.l$ . fffff800`02c0e080 CC 14 00 00 49 3B C5 74 2B 44 8B 8C 24 90 00 00 ....I;.t+D..$... fffff800`02c0e090 00 48 8B C8 41 8D 51 FF 41 3B D5 76 0D 44 8B C2 .H..A.Q.A;.v.D.. fffff800`02c0e0a0 49 83 E8 01 48 8B 49 08 75 F6 48 89 79 08 41 03 I...H.I.u.H.y.A. fffff800`02c0e0b0 D9 48 8B F8 3B DD 74 9A 44 38 AE 28 01 00 00 0F .H..;.t.D8.(.... fffff800`02c0e0c0 85 DF 00 00 00 48 8D 44 24 30 4C 8D 8C 24 A0 00 .....H.D$0L..$.. fffff800`02c0e0d0 00 00 4C 8D 84 24 A8 00 00 00 8B D5 48 8B CE 48 ..L..$......H..H fffff800`02c0e0e0 89 44 24 20 E8 F7 1F 00 00 8B F8 89 84 24 90 00 .D$ .........$.. fffff800`02c0e0f0 00 00 41 3B C5 0F 84 83 01 00 00 4C 8B A4 24 A8 ..A;.......L..$. fffff800`02c0e100 00 00 00 44 8B 84 24 A0 00 00 00 48 8B 8E 98 00 ...D..$....H.... fffff800`02c0e110 00 00 49 8B D4 44 8B C8 E8 DB 1B 00 00 49 3B C5 ..I..D.......I;. fffff800`02c0e120 74 35 48 8B 96 98 00 00 00 48 8D 84 24 90 00 00 t5H......H..$... fffff800`02c0e130 00 41 B1 01 48 89 44 24 28 44 8B C5 48 8B CE 44 .A..H.D$(D..H..D fffff800`02c0e140 88 6C 24 20 E8 43 12 00 00 49 3B C5 0F 84 2C 01 .l$ .C...I;...,. fffff800`02c0e150 00 00 E9 29 01 00 00 48 8B 5C 24 30 49 3B DD 74 ...)...H.\$0I;.t fffff800`02c0e160 2A 4D 3B E5 74 0C 48 8B D3 49 8B CC FF 15 AE CE *M;.t.H..I...... fffff800`02c0e170 01 00 48 8B CB FF 15 95 CF 01 00 33 D2 48 8B CB ..H........3.H.. fffff800`02c0e180 FF 15 AA CE 01 00 E9 F3 00 00 00 C1 E7 0C 41 B8 ..............A. fffff800`02c0e190 01 00 00 00 49 8B CC 8B D7 FF 15 99 CE 01 00 E9 ....I........... fffff800`02c0e1a0 DA 00 00 00 2B EB 33 C9 41 B8 48 61 6C 20 8B D5 ....+.3.A.Hal .. fffff800`02c0e1b0 44 8B FD 48 C1 E2 03 FF 15 33 D4 01 00 4C 8B F0 D..H.....3...L.. fffff800`02c0e1c0 49 3B C5 0F 84 8F 00 00 00 45 8B E5 41 3B ED 76 I;.......E..A;.v fffff800`02c0e1d0 3F 4C 8B E8 BA 00 10 00 00 B9 04 00 00 00 41 B8 ?L............A. fffff800`02c0e1e0 48 61 6C 20 FF 15 06 D4 01 00 49 89 45 00 48 85 Hal ......I.E.H. fffff800`02c0e1f0 C0 74 39 48 8B C8 FF 15 BC CE 01 00 48 C1 E8 20 .t9H........H.. fffff800`02c0e200 85 C0 75 28 41 FF C4 49 83 C5 08 44 3B E5 72 C4 ..u(A..I...D;.r. fffff800`02c0e210 48 8B 8E 98 00 00 00 44 8B C5 BA 01 00 00 00 E8 H......D........ fffff800`02c0e220 58 19 00 00 4C 8B E8 48 85 C0 75 6C 45 33 ED 45 X...L..H..ulE3.E fffff800`02c0e230 3B E5 76 19 49 8B EE 48 8B 4D 00 33 D2 FF 15 ED ;.v.I..H.M.3.... fffff800`02c0e240 CD 01 00 48 83 C5 08 49 83 EC 01 75 EA 33 D2 49 ...H...I...u.3.I fffff800`02c0e250 8B CE FF 15 D8 CD 01 00 41 3B DD 76 21 8B EB 48 ........A;.v!..H fffff800`02c0e260 8B 96 98 00 00 00 48 8B 5F 08 4C 8B C7 48 8B CE ......H._.L..H.. fffff800`02c0e270 E8 2B 15 00 00 48 83 ED 01 48 8B FB 75 E1 33 C0 .+...H...H..u.3. fffff800`02c0e280 48 8B 9C 24 98 00 00 00 48 83 C4 50 41 5F 41 5E H..$....H..PA_A^ fffff800`02c0e290 41 5D 41 5C 5F 5E 5D C3 8D 4D FF 85 C9 74 0C 8B A]A\_^]..M...t.. fffff800`02c0e2a0 D1 48 83 EA 01 48 8B 40 08 75 F6 48 89 78 08 49 [email protected] fffff800`02c0e2b0 8B FD 85 ED 74 29 49 8B DE 48 8B 0B FF 15 F6 CD ....t)I..H...... fffff800`02c0e2c0 01 00 41 89 45 00 48 8B 03 48 83 C3 08 48 83 C8 ..A.E.H..H...H.. fffff800`02c0e2d0 0F 49 83 EF 01 49 89 45 10 4D 8B 6D 08 75 DA 48 .I...I.E.M.m.u.H fffff800`02c0e2e0 8B 8E 98 00 00 00 48 8D 54 24 38 48 83 C1 78 FF ......H.T$8H..x. fffff800`02c0e2f0 15 83 CD 01 00 4C 8B 9E 98 00 00 00 48 8D 4C 24 .....L......H.L$ fffff800`02c0e300 38 41 01 AB D0 00 00 00 FF 15 3A CD 01 00 33 D2 8A........:...3. fffff800`02c0e310 49 8B CE FF 15 17 CD 01 00 E9 34 FD FF FF 90 90 I.........4..... fffff800`02c0e320 90 90 90 90 45 85 C0 74 43 48 89 5C 24 08 48 89 ....E..tCH.\$.H. fffff800`02c0e330 74 24 10 57 48 83 EC 20 48 8B F1 41 8B F8 48 8B t$.WH.. H..A..H. fffff800`02c0e340 5A 08 4C 8B C2 48 8B 96 98 00 00 00 48 8B CE E8 Z.L..H......H... fffff800`02c0e350 4C 14 00 00 48 83 EF 01 48 8B D3 75 E1 48 8B 5C L...H...H..u.H.\ fffff800`02c0e360 24 30 48 8B 74 24 38 48 83 C4 20 5F C3 90 90 90 $0H.t$8H.. _.... fffff800`02c0e370 90 90 90 90 48 8B C4 48 89 58 08 48 89 68 10 48 ....H..H.X.H.h.H fffff800`02c0e380 89 70 18 48 89 78 20 41 54 41 55 4C 8B D9 4D 8B .p.H.x ATAUL..M. fffff800`02c0e390 E0 48 8B F2 B9 FF 0F 00 00 4D 85 DB 75 08 4C 8B .H.......M..u.L. fffff800`02c0e3a0 D1 40 32 FF EB 12 4D 8B 93 88 00 00 00 41 8A BB [email protected].. fffff800`02c0e3b0 91 00 00 00 49 C1 EA 0C 44 8B 44 24 38 41 8B C1 ....I...D.D$8A.. fffff800`02c0e3c0 4C 2B 4E 20 23 C1 49 C1 E9 0C 41 BD 00 10 00 00 L+N #.I...A..... fffff800`02c0e3d0 41 8B D5 41 8B E9 2B D0 8B CA 4C 39 54 EE 30 76 A..A..+...L9T.0v fffff800`02c0e3e0 04 33 C9 EB 4F 41 3B D0 73 43 4C 8D 4C EE 38 4D .3..OA;.sCL.L.8M fffff800`02c0e3f0 39 11 77 39 49 8B 59 F8 48 8D 43 01 49 3B 01 75 9.w9I.Y.H.C.I;.u fffff800`02c0e400 2C 48 8B C3 49 33 01 48 A9 00 00 F0 FF 75 1E 40 ,H..I3.H.....u.@ fffff800`02c0e410 80 FF 01 74 0C 49 33 19 48 F7 C3 F0 FF FF FF 75 ...t.I3.H......u fffff800`02c0e420 0C 41 03 CD 49 83 C1 08 41 3B C8 72 C2 41 3B C8 .A..I...A;.r.A;. fffff800`02c0e430 41 0F 47 C8 4D 85 DB 0F 84 92 00 00 00 41 80 BB A.G.M........A.. fffff800`02c0e440 28 01 00 00 00 0F 84 84 00 00 00 4C 39 54 EE 30 (..........L9T.0 fffff800`02c0e450 76 7D 8B CA 48 8D 44 EE 38 41 3B D0 73 11 4C 39 v}..H.D.8A;.s.L9 fffff800`02c0e460 10 76 0C 41 03 CD 48 83 C0 08 41 3B C8 72 EF 49 .v.A..H...A;.r.I fffff800`02c0e470 8B 44 24 18 41 3B C8 44 8B 08 4C 8B 50 08 41 0F .D$.A;.D..L.P.A. fffff800`02c0e480 47 C8 41 C1 E9 0C EB 3A 45 8B 02 41 8D 41 01 41 G.A....:E..A.A.A fffff800`02c0e490 C1 E8 0C 44 3B C0 75 2E 41 8B C0 41 33 C1 A9 00 ...D;.u.A..A3... fffff800`02c0e4a0 00 F0 FF 75 21 40 80 FF 01 74 0D 41 8B C0 41 33 [email protected] fffff800`02c0e4b0 C1 A9 F0 FF FF FF 75 0E 4D 8B 52 08 45 8B C8 41 ......u.M.R.E..A fffff800`02c0e4c0 03 D5 3B D1 72 C2 3B D1 0F 47 D1 8B C2 EB 02 8B ..;.r.;..G...... fffff800`02c0e4d0 C1 48 8B 5C 24 18 48 8B 6C 24 20 48 8B 74 24 28 .H.\$.H.l$ H.t$( fffff800`02c0e4e0 48 8B 7C 24 30 41 5D 41 5C C3 90 90 90 90 90 90 H.|$0A]A\....... fffff800`02c0e4f0 48 89 5C 24 08 48 89 6C 24 10 48 89 74 24 18 57 H.\$.H.l$.H.t$.W fffff800`02c0e500 41 54 41 55 48 83 EC 30 48 8B 5C 24 70 4D 8B E1 ATAUH..0H.\$pM.. fffff800`02c0e510 49 8B F0 8B 03 4C 8B EA 48 8B E9 89 44 24 20 E8 I....L..H...D$ . fffff800`02c0e520 50 FE FF FF 49 8B CC 89 03 49 2B 4D 20 8B F8 48 P...I....I+M ..H fffff800`02c0e530 C1 E9 0C 8B C9 49 8B 54 CD 30 49 8B CC 48 C1 E2 .....I.T.0I..H.. fffff800`02c0e540 0C 81 E1 FF 0F 00 00 48 03 D1 48 85 F6 74 72 48 .......H..H..trH fffff800`02c0e550 39 95 88 00 00 00 73 69 4C 8B 4E 18 48 8B 84 24 9.....siL.N.H..$ fffff800`02c0e560 80 00 00 00 41 8B DC 41 8B 09 81 E3 FF 0F 00 00 ....A..A........ fffff800`02c0e570 03 CB 80 7C 24 78 01 48 89 08 75 17 4D 8B C4 49 ...|$x.H..u.M..I fffff800`02c0e580 8B D5 48 8B CD C6 44 24 28 01 89 7C 24 20 E8 C5 ..H...D$(..|$ .. fffff800`02c0e590 06 00 00 8B C7 C1 EF 0C 25 FF 0F 00 00 8D 8C 18 ........%....... fffff800`02c0e5a0 FF 0F 00 00 48 8B 46 18 C1 E9 0C 03 CF 74 0C 8B ....H.F......t.. fffff800`02c0e5b0 D1 48 83 EA 01 48 8B 40 08 75 F6 48 89 46 18 EB [email protected].. fffff800`02c0e5c0 0B 48 8B 84 24 80 00 00 00 48 89 10 48 8B 5C 24 .H..$....H..H.\$ fffff800`02c0e5d0 50 48 8B 6C 24 58 48 8B 74 24 60 48 83 C4 30 41 PH.l$XH.t$`H..0A fffff800`02c0e5e0 5D 41 5C 5F C3 90 90 90 90 90 90 90 4D 85 C0 0F ]A\_........M... fffff800`02c0e5f0 84 09 01 00 00 48 8B C4 48 89 58 08 48 89 68 10 .....H..H.X.H.h. fffff800`02c0e600 48 89 70 18 48 89 78 20 41 54 41 55 41 56 48 83 H.p.H.x ATAUAVH. fffff800`02c0e610 EC 30 44 8A 64 24 78 49 8B D8 49 8B F1 4C 8B EA .0D.d$xI..I..L.. fffff800`02c0e620 4C 8B F1 49 89 58 18 41 80 FC 01 0F 84 AF 00 00 L..I.X.A........ fffff800`02c0e630 00 8B 7C 24 70 85 FF 0F 84 9F 00 00 00 4C 8B CE ..|$p........L.. fffff800`02c0e640 4C 8B C3 49 8B D5 49 8B CE 89 7C 24 20 E8 22 FD L..I..I...|$ .". fffff800`02c0e650 FF FF 48 8B CE 49 2B 4D 20 8B E8 48 C1 E9 0C 8B ..H..I+M ..H.... fffff800`02c0e660 C9 49 8B 54 CD 30 48 8B CE 48 C1 E2 0C 81 E1 FF .I.T.0H..H...... fffff800`02c0e670 0F 00 00 48 03 D1 49 39 96 88 00 00 00 73 52 4C ...H..I9.....sRL fffff800`02c0e680 8B 4B 18 4C 8B C6 49 8B D5 49 8B CE 44 88 64 24 .K.L..I..I..D.d$ fffff800`02c0e690 28 89 6C 24 20 E8 BE 05 00 00 8B C5 44 8B DE 25 (.l$ .......D..% fffff800`02c0e6a0 FF 0F 00 00 41 81 E3 FF 0F 00 00 41 8D 8C 03 FF ....A......A.... fffff800`02c0e6b0 0F 00 00 8B C5 C1 E8 0C C1 E9 0C 03 C8 48 8B 43 .............H.C fffff800`02c0e6c0 18 74 0A 48 83 E9 01 48 8B 40 08 75 F6 48 89 43 [email protected] fffff800`02c0e6d0 18 48 03 F5 2B FD 0F 85 61 FF FF FF 48 89 5B 18 .H..+...a...H.[. fffff800`02c0e6e0 48 8B 5C 24 50 48 8B 6C 24 58 48 8B 74 24 60 48 H.\$PH.l$XH.t$`H fffff800`02c0e6f0 8B 7C 24 68 48 83 C4 30 41 5E 41 5D 41 5C C3 90 .|$hH..0A^A]A\.. fffff800`02c0e700 90 90 90 90 90 90 90 90 48 89 54 24 10 53 55 56 ........H.T$.SUV fffff800`02c0e710 57 41 54 41 55 41 56 41 57 48 83 EC 58 48 8B F2 WATAUAVAWH..XH.. fffff800`02c0e720 48 8B D9 48 8D 54 24 30 48 8D 0D B9 67 02 00 45 H..H.T$0H...g..E fffff800`02c0e730 8B E1 49 8B F8 4C 89 84 24 B0 00 00 00 FF 15 35 ..I..L..$......5 fffff800`02c0e740 C9 01 00 4C 8B 2D 86 67 02 00 4C 8B 35 77 67 02 ...L.-.g..L.5wg. fffff800`02c0e750 00 48 8B C6 44 8B C6 48 2B 43 20 41 81 E0 FF 0F .H..D..H+C A.... fffff800`02c0e760 00 00 BD 00 10 00 00 48 C1 E8 0C 45 89 45 2C 8B .......H...E.E,. fffff800`02c0e770 CD 8B C0 41 2B C8 41 89 4D 28 4C 8D 4C C3 30 48 ...A+.A.M(L.L.0H fffff800`02c0e780 8B C6 48 25 00 F0 FF FF 49 89 45 20 49 89 46 20 ..H%....I.E I.F fffff800`02c0e790 45 89 46 2C 41 89 4E 28 44 89 84 24 B8 00 00 00 E.F,A.N(D..$.... fffff800`02c0e7a0 4C 89 8C 24 A0 00 00 00 45 85 E4 0F 84 90 01 00 L..$....E....... fffff800`02c0e7b0 00 48 8B 5F 10 48 81 E3 00 F0 FF FF 75 3C 8B 07 .H._.H......u<.. fffff800`02c0e7c0 48 8B 0D 49 67 02 00 44 8D 4B 01 48 C1 E8 0C 4D H..Ig..D.K.H...M fffff800`02c0e7d0 8B C6 BA 48 61 6C 20 49 89 46 30 FF 15 DF C8 01 ...Hal I.F0..... fffff800`02c0e7e0 00 48 8B D8 48 85 C0 0F 84 36 01 00 00 4C 8B 8C .H..H....6...L.. fffff800`02c0e7f0 24 A0 00 00 00 41 B7 01 EB 09 41 8B C0 48 03 D8 $....A....A..H.. fffff800`02c0e800 45 32 FF 49 8B 01 33 FF 49 89 45 30 48 8B 0D C5 E2.I..3.I.E0H... fffff800`02c0e810 66 02 00 44 8B CF 4D 8B C5 BA 48 61 6C 20 FF 15 f..D..M...Hal .. fffff800`02c0e820 9C C8 01 00 48 8B F0 48 85 C0 75 24 FF C7 83 FF ....H..H..u$.... fffff800`02c0e830 06 7C D9 48 21 44 24 20 45 33 C9 41 B8 01 EF 00 .|.H!D$ E3.A.... fffff800`02c0e840 00 48 8B D5 B9 AC 00 00 00 FF 15 A1 CA 01 00 CC .H.............. fffff800`02c0e850 8B FD 2B BC 24 B8 00 00 00 44 3B E7 41 0F 42 FC ..+.$....D;.A.B. fffff800`02c0e860 80 BC 24 C0 00 00 00 01 8B EF 44 8B C7 75 0E 48 ..$.......D..u.H fffff800`02c0e870 8B D0 48 8B CB FF 15 AD 33 02 00 EB 0B 48 8B D3 ..H.....3....H.. fffff800`02c0e880 48 8B C8 E8 C8 A6 01 00 4D 8B C5 BA 48 61 6C 20 H.......M...Hal fffff800`02c0e890 48 8B CE FF 15 47 C8 01 00 41 80 FF 01 75 11 4D H....G...A...u.M fffff800`02c0e8a0 8B C6 BA 48 61 6C 20 48 8B CB FF 15 30 C8 01 00 ...Hal H....0... fffff800`02c0e8b0 48 8B 84 24 A8 00 00 00 4C 8B 8C 24 A0 00 00 00 H..$....L..$.... fffff800`02c0e8c0 44 2B E7 48 8B BC 24 B0 00 00 00 48 03 C5 BD 00 D+.H..$....H.... fffff800`02c0e8d0 10 00 00 48 8B 7F 08 49 83 C1 08 45 33 C0 44 3B ...H..I...E3.D; fffff800`02c0e8e0 E5 48 8B C8 41 8B D4 0F 47 D5 48 81 E1 00 F0 FF .H..A...G.H..... fffff800`02c0e8f0 FF 48 89 84 24 A8 00 00 00 49 89 4D 20 41 89 55 .H..$....I.M A.U fffff800`02c0e900 28 25 FF 0F 00 00 41 89 45 2C 49 89 4E 20 41 89 (%....A.E,I.N A. fffff800`02c0e910 46 2C 41 89 56 28 48 89 BC 24 B0 00 00 00 E9 75 F,A.V(H..$.....u fffff800`02c0e920 FE FF FF 48 83 64 24 20 00 45 33 C9 41 B8 00 EF ...H.d$ .E3.A... fffff800`02c0e930 00 00 48 8B D5 B9 AC 00 00 00 FF 15 B0 C9 01 00 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  • C# SOCKS proxy service for HTTP requests

    - by Ed
    I'm trying to build a service that will forward HTTP requests from agents like a browser to the Tor service. Problem is, the Tor service only accepts SOCKS4a connections. So my solution is to listen for HTTP requests, get the URL they're requesting, and make a request via Tor with the help of the Starksoft.Net.Proxy library. Then return the response. The library kind of works, but I'm not happy. It returns HTTP headers with the response and it can't handle images. So the responses are messed up. How could I improve my code? I'm very new to network programming. Sorry for the long example. public AnonymiserService(ILogger logger) { try { _logger = logger; _logger.Log("Listening on port {0}...", Properties.Settings.Default.ListeningPort); StartListener(new string[] { string.Format("http://*:{0}/", Properties.Settings.Default.ListeningPort) }); } catch (Exception ex) { _logger.LogError("Exception!", ex); } } private void StartListener(string[] prefixes) { if (!HttpListener.IsSupported) { _logger.LogError("HttpListener isn't supported on this machine!"); return; } HttpListener listener = new HttpListener(); foreach (string s in prefixes) listener.Prefixes.Add(s); while (true) { listener.Start(); IAsyncResult result = listener.BeginGetContext(new AsyncCallback(ListenerCallback), listener); result.AsyncWaitHandle.WaitOne(); } } private void ListenerCallback(IAsyncResult result) { try { // Get HTTP request HttpListener listener = (HttpListener)result.AsyncState; HttpListenerContext context = listener.EndGetContext(result); _logger.Log("Retrieving [{0}]", context.Request.RawUrl); // Create connection // Use Tor as proxy IProxyClient proxyClient = new Socks4aProxyClient("localhost", 9050); TcpClient tcpClient = proxyClient.CreateConnection(context.Request.UserHostName, 80); // Create message // Need to set Connection: close to close the connection as soon as it's done byte[] data = Encoding.UTF8.GetBytes(String.Format("GET {0} HTTP/1.1\r\nHost: {1}\r\nConnection: close\r\n\r\n", context.Request.Url.PathAndQuery, context.Request.UserHostName)); // Send message NetworkStream ns = tcpClient.GetStream(); ns.Write(data, 0, data.Length); // Pass on HTTP response HttpListenerResponse responseOut = context.Response; if (ns.CanRead) { byte[] buffer = new byte[32768]; int read = 0; string responseString = string.Empty; // Read response while ((read = ns.Read(buffer, 0, buffer.Length)) > 0) { responseString += Encoding.UTF8.GetString(buffer, 0, read); } // Remove headers if (responseString.IndexOf("HTTP/1.1 200 OK") > -1) responseString = responseString.Substring(responseString.IndexOf("\r\n\r\n")); // Forward response byte[] byteArray = Encoding.UTF8.GetBytes(responseString); responseOut.OutputStream.Write(byteArray, 0, byteArray.Length); } // Close streams responseOut.OutputStream.Close(); ns.Close(); // Close connection tcpClient.Close(); _logger.Log("Retrieved [{0}]", context.Request.RawUrl); } catch (Exception ex) { _logger.LogError("Exception in ListenerCallback!", ex); } }

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  • Random pauses with "Key dispatching timed out sending to <null>" when closing Android SurfaceView

    - by kenyee
    When I close an Android SurfaceView Activity, the app sometimes pauses and almost gets an ANR (Application Not Responding) message. Looking at LogCat, it appears to be timing out trying to send keys to it. I tried modifying the code to setFocusable(false) when in the onKeyDown handler for the SurfaceView, but that doesn't seem to affect this. Any other ideas on what might be causing this? Or what these messages in Logcat even mean? ============================= 05-31 19:35:35.285: INFO/WindowManager(586): focus null mToken is null at event dispatch! 05-31 19:35:35.295: WARN/WindowManager(586): Current state: {{KeyEvent{action=1 code=4 repeat=0 meta=0 scancode=158 mFlags=8} to null @ 1275334535292 lw=null lb=null fin=true gfw=true ed=true tts=0 wf=false fp=false mcf=null}} 05-31 19:35:35.305: WARN/WindowManager(586): Continuing to wait for key to be dispatched 05-31 19:35:40.306: WARN/WindowManager(586): Key dispatching timed out sending to 05-31 19:35:40.316: WARN/WindowManager(586): Dispatch state: {{KeyEvent{action=0 code=4 repeat=0 meta=0 scancode=158 mFlags=8} to Window{43763540 com.myapp/com.myapp.DiagramEdit paused=false} @ 1275334499512 lw=Window{43763540 com.myapp/com.myapp.DiagramEdit paused=false} lb=android.os.BinderProxy@43702190 fin=false gfw=true ed=true tts=0 wf=false fp=false mcf=null}} 05-31 19:35:40.326: INFO/WindowManager(586): focus null mToken is null at event dispatch! 05-31 19:35:40.326: WARN/WindowManager(586): Current state: {{KeyEvent{action=1 code=4 repeat=0 meta=0 scancode=158 mFlags=8} to null @ 1275334540327 lw=null lb=null fin=true gfw=true ed=true tts=0 wf=false fp=false mcf=null}} 05-31 19:35:40.326: WARN/WindowManager(586): Continuing to wait for key to be dispatched

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  • MMC Snapin development: 'MMC not responding' - Is there a timeout that can be set for debugging?

    - by Ed Sykes
    So I'm writing a snapin for MMC 3. Quite often I have the debugger attached and I'm stepping through some code. MMC has some kind of a fail safe for misbehaving snapins that automatically unloads them after a timeout. The message is 'This snap-in is not responding'. After that MMC can behave as though your snap-in has been unloaded. fair enough, it's not responding because I'm stepping through the debugger. However, the timeout is very small for development. Does anyone know of a way of increasing the timeout? I googled and couldn't find anything. Checking the MMC registry key HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\MMC and couldn't see anything there. I also checked the snap-in registry location under HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\MMC\SnapIns. No luck. I feel like there must be a way of increasing the timeout as this is something the devs as Microsoft must have encountered this problem.

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  • How to use Tor control protocol in C#?

    - by Ed
    I'm trying to send commands to the Tor control port programmatically to make it refresh the chain. I haven't been able to find any examples in C#, and my solution's not working. The request times out. I have the service running, and I can see it listening on the control port. public string Refresh() { TcpClient client = new TcpClient("localhost", 9051); string response = string.Empty; string authenticate = MakeTcpRequest("AUTHENTICATE", client); if (authenticate.Equals("250")) response = MakeTcpRequest("SIGNAL NEWNYM", client); client.Close(); return response; } public string MakeTcpRequest(string message, TcpClient client) { client.ReceiveTimeout = 20000; client.SendTimeout = 20000; string proxyResponse = string.Empty; try { // Send message StreamWriter streamWriter = new StreamWriter(client.GetStream()); streamWriter.Write(message); streamWriter.Flush(); // Read response StreamReader streamReader = new StreamReader(client.GetStream()); proxyResponse = streamReader.ReadToEnd(); } catch (Exception ex) { // Ignore } return proxyResponse; } Can anyone spot what I'm doing wrong?

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  • List display names from django models

    - by Ed
    I have an object: POP_CULTURE_TYPES = ( ('SG','Song'), ('MV', 'Movie'), ('GM', 'Game'), ('TV', 'TV'), ) class Pop_Culture(models.Model): name = models.CharField(max_length=30, unique=True) type = models.CharField(max_length=2, choices = POP_CULTURE_TYPES, blank=True, null=True) Then I have a function: def choice_list(request, modelname, field_name): mdlnm = get.model('mdb', modelname.lower()) mdlnm = mdlnm.objects.values_list(field_name, flat=True).distinct().order_by(field_name) return render_to_response("choice_list.html", { 'model' : modelname, 'field' : field_name, 'field_list' : mdlnm }) This gives me a distinct list of all the "type" entries in the database in the "field_list" variable passed in render_to_response. But I don't want a list that shows: SG MV I want a list that shows: Song Movie I can do this on an individual object basis if I was in the template object.get_type_display But how do I get a list of all of the unique "type" entries in the database as their full names for output into a template? I hope this question was clearly described. . .

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  • WPF RowDetailsTemplate width issue

    - by Ed Courtenay
    Apologies if this is a dupe, but I can't seem to find a rational solution for what must be a fairly simple issue. <Window x:Class="FeedTest.MainWindow" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" Title="MainWindow" Height="350" Width="525"> <Window.Resources> <XmlNamespaceMappingCollection x:Key="map"> <XmlNamespaceMapping Prefix="media" Uri="http://search.yahoo.com/mrss/" /> </XmlNamespaceMappingCollection> <XmlDataProvider x:Key="newsFeed" XPath="//item[string-length(title)>0]" Source="http://newsrss.bbc.co.uk/rss/newsonline_uk_edition/uk/rss.xml" /> <DataTemplate x:Key="rowDetailTemplate"> <Border BorderThickness="2"> <StackPanel Orientation="Horizontal"> <Image Source="{Binding XPath=media:thumbnail/@url}" Width="66" Height="49" /> <StackPanel Orientation="Vertical" Margin="5"> <TextBlock Text="{Binding XPath=description}" TextWrapping="Wrap" /> </StackPanel> </StackPanel> </Border> </DataTemplate> <Style TargetType="{x:Type DataGrid}"> <Setter Property="GridLinesVisibility" Value="None" /> </Style> </Window.Resources> <Grid Binding.XmlNamespaceManager="{StaticResource map}"> <DataGrid AutoGenerateColumns="False" ItemsSource="{Binding Source={StaticResource newsFeed}}" RowDetailsVisibilityMode="VisibleWhenSelected" RowDetailsTemplate="{StaticResource rowDetailTemplate}"> <DataGrid.Columns> <DataGridTextColumn Header="Title" Binding="{Binding XPath=title}" MinWidth="150" Width="*" /> </DataGrid.Columns> </DataGrid> </Grid> The attached XAML gets a news feed, and displays the title of each item in a DataGrid. Selecting an item shows the RowDetailsTemplate which is where my problem lies - why does the RowDetailsTemplate expand beyond the width of the containing DataGrid (thus forcing a horizontal scrollbar), and more importantly, how do I stop it doing this? Many thanks.

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  • CGContextDrawPDFPage taking up large amounts of memory

    - by Ed Marty
    I have a PDF file that I want to draw in outline form. I want to draw the first several pages on the document each in their own UIImage to use on a button so that when clicked, the main display will navigate to the clicked page. However, CGContextDrawPDFPage seems to be using copious amounts of memory when attempting to draw the page. Even though the image is only supposed to be around 100px tall, the application crashes while drawing one page in particular, which according to Instruments, allocates about 13 MB of memory just for the one page. Here's the code for drawing: //Note: This is always called in a background thread, but the autorelease pool is setup elsewhere + (void) drawPage:(CGPDFPageRef)m_page inRect:(CGRect)rect inContext:(CGContextRef) g { CGPDFBox box = kCGPDFMediaBox; CGAffineTransform t = CGPDFPageGetDrawingTransform(m_page, box, rect, 0,YES); CGRect pageRect = CGPDFPageGetBoxRect(m_page, box); //Start the drawing CGContextSaveGState(g); //Clip to our bounding box CGContextClipToRect(g, pageRect); //Now we have to flip the origin to top-left instead of bottom left //First: flip y-axix CGContextScaleCTM(g, 1, -1); //Second: move origin CGContextTranslateCTM(g, 0, -rect.size.height); //Now apply the transform to draw the page within the rect CGContextConcatCTM(g, t); //Finally, draw the page //The important bit. Commenting out the following line "fixes" the crashing issue. CGContextDrawPDFPage(g, m_page); CGContextRestoreGState(g); } Is there a better way to draw this image that doesn't take up huge amounts of memory?

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  • Can I create a custom plist structure definition?

    - by Ed Marty
    When editing plist files in XCode, it can detect the type of plist and show human-readable strings to make it more easy to edit the file. The Info.plist, for example. Thanks to This question, I found the (or a) place where it stores that structure definition, as InfoPlistStructDefs.xcodeplugin. If I put my own file in there, however, nothing interesting happens. That is, it doesn't show up in the list of possible property list types. So does anybody know how to make XCode or the external property list editor application recognize a custom plist structure definition?

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  • AJAX get data from large HTML page as the large HTML page loads

    - by Ed
    Not entirely sure whether this has a name but basically I have a large HTML page that is generated from results in a db. So viewing the HTML page (which is a report) in a browser directly does not display all contents immediately but displays what it has and additional HTML is added as the results from the DB are retrieved... Is there a way I can make an AJAX request to this HTML page and as opposed to waiting until the whole page (report) is ready, I can start processing the response as the HTML report is loaded? Or is there another way of doing it? Atm I make my AJAX response it just sits there for a minute or two until the HTML page is complete... If context is of any use: The HTML report is generated by a Java servlet and the page making the AJAX call is a JSP page. Unfortunately I can't very easily break the report up because it is generated by BIRT (Eclipse reporting extension). Thanks in advance.

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  • How to parse a raw HTTP response?

    - by Ed
    If I have a raw HTTP response as a string: HTTP/1.1 200 OK Date: Tue, 11 May 2010 07:28:30 GMT Expires: -1 Cache-Control: private, max-age=0 Content-Type: text/html; charset=UTF-8 Server: gws X-XSS-Protection: 1; mode=block Connection: close <!doctype html><html>...</html> Is there an easy way I can parse it into an HttpListenerResponse object? Or at least some kind .NET object so I don't have to work with raw responses. What I'm doing currently is extracting the header key/value pairs and setting them on the HttpListenerResponse. But some headers can't be set, and then I have to cut out the body of the response and write it to the OutputStream. But the body could be gzipped, or it could be an image, which I can't get to work yet. And some responses contain random characters everywhere, which looks like an encoding problem. It's a lot of trouble. I'm getting a raw response because I'm using SOCKS to send an HTTP request. The program I'm working on is basically an HTTP proxy that can route requests through a SOCKS proxy, like Privoxy does.

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  • UpdatePanel doesn't load correctly on second try

    - by Ed Woodcock
    Ok, I've got two UpdatePanels on a (relatively simple) CRUD-management page, and I'm having some issues with them. The first updatepanel fails the second time it's updated (infinite loading popout, page doesn't change, request comes back properly but apparently isn't used). The second updatepanel fails if the first updatepanel has updated first, or if a certain internal trigger is pressed twice. Interestingly, the first updatepanel can be called multiple times with no problems if the first has yet to be called. layout example: <updatepanel> <table> <trigger> </table> </updatepanel> <lightbox> <updatepanel> <multiple triggers> </updatepanel> </lightbox> The use of the second updatepanel is required for the lightbox to function correctly (so it can't just be one big one). The first updatepanel exhibits this behaviour regardless of whether the second is present on the page or not. Has anyone ever experienced similar problems/have any ideas?

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