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  • Shopping for a very compact and powerful workstation [closed]

    - by qdot
    I'm on the market for something small, size of an Mac Mini, could be heavier, that packs a lot of compute power - goal is to have a fast, known development machine at customer's site, but still easier to fly with than desktop-replacement laptops. If Mac Mini came with a quad-core i7, it would be my likely choice. Any other manufacturers to look at? Or perhaps a Mini can be upgraded beyond official specs?

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  • How to change machine name on TFS 2010 RC?

    - by Ross Johnston
    I'm trying to rename the TFS 2010 RC VM machine name so I can add it to our domain without the chance of clashing with another copy of the VM already on the domain. I found instructions for TFS 2008 saying to use TFSAdminUtil ActivateAT , but this tool has now been replaced by TFSConfig and I can't see an obvious replacement for 'ActivateAT'. Any ideas what the new command should be?

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  • migrate old bootable wd harddrive to new 500 gb hd which was just used for storage and has stored programs on it , id like 500gb to be botable

    - by tom
    id appreciate any help in this matter this is in laptop with 2 harddrive bays. i have a wd scorpio that has become 2 small its bootable with windows 7, i have pretty new 3 months old hitachi hd500gb i was using for storage-backup of programs it is not bootable and id like to make it that way without losing saved backed up info on it is there any way to do this, id like to keep only 500gb bootable hard drive due to weight of laptop its 10.lbs desktop replacement gateway p-7805u thanks for your help in advance on this matter, tommy

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  • Firewall/Router upgrade

    - by Atlas
    We've been using a SonicWall TZ170 for several years, it's been working fine with occasional glitches. Now we switched to a 100Mpbs broadband, and the firewall has become the bottleneck for internet access because its max throughput is around 20-30Mpbs. Any ideas for a replacement? Brand/Model?

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  • Tool to test HDD for health?

    - by Ognjen
    I've had my HDD replaced, and now my computer is freezing every 1 to 5 minutes for 5 to 10 seconds. Actually, only active applications freeze (but it can be ANY application), usually when I click something, but sometimes by themselves. How can I check if this is HDD issue or software issue? I don't want to send my laptop for second HDD replacement right away, since the last service took 40 days, so I am looking for a tool that could confirm that this is a HDD issue.

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  • Chrome Equivalent of %s address bar trick in Firefox

    - by notbrain
    I was curious if there was an equivalent technique in Chrome to do address bar param string replacement like you can do in Firefox. If you create a bookmark and put a %s in the bookmark URL/address part, and set a keyword for the bookmark, you can do things like URL: http://php.net/%s Keyword: php Type in browser: php fopen End up at: http://php.net/fopen Is this making its way into Chrome or is there a way to do it?

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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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  • Ubuntu Installation Help for an IBM R31 Thinkpad

    - by David Taylor
    I recently acquired an old IBM R31 Thinkpad, and I'd figure I'd install Lubuntu on it. I've followed the quick steps for USB installation on the help wiki page, but I can't seem to get it to boot from my formatted flash drive. I've checked the boot priority on the BIOS page, but the option to boot from USB doesn't even seem to be there. The only bootable options are legacy and USB floppy drives. The CD drive is shot, so I can't install from there either. Do I have any other options for installation without having to pay for a floppy drive or a replacement CD drive? The wiki pages mentions something about installation from within Windows. Would it be possible to remove Windows using this option, or would it just create a partition? Thanks

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  • Ban HTML comments from your pages and views

    Too many people dont realize that there are other options than <!-- --> comments to annotate HTML. These comments are harmful because they are sent to the client and thus make your page heavier than it needs to be. When doing ASP.NET, a simple drop-in replacement is server comments, which are delimited by <%-- --%> instead of <!-- -->. Those server comments are visible in your source code, but will never be rendered to the client. Heres a simple way to sanitize a web site. From...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Transitioning from Oracle based CMS to MySQL based CMS

    - by KM01
    We're looking at a replacement for our CMS which runs on Oracle. The new CMSes that we've looked at can in theory run on Oracle, but most of the vendor's installs run off of MySQL vendor supports install of their CMS on MySQL, and a "theoretical" install on Oracle the vendor's dev shops use MySQL none of them develop/test against Oracle Our DBA team works exclusively with Oracle, and doesn't have the bandwidth to provide additional support for a highly available and performing MySQL setup. They could in theory go to training and get ramped up, but our time line is also short (surprise!). So ... I guess my question(s) are: If you've seen a situation like this, how have you dealt with it? What tipped the balance either way? What type of effort did it take? If you're to do it over, what would you do differently ... ? Thanks! KM

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  • UppercuT &ndash; Custom Extensions Now With PowerShell and Ruby

    Arguably, one of the most powerful features of UppercuT (UC) is the ability to extend any step of the build process with a pre, post, or replace hook. This customization is done in a separate location from the build so you can upgrade without wondering if you broke the build. There is a hook before each step of the build has run. There is a hook after. And back to power again, there is a replacement hook. If you dont like what the step is doing and/or you want to replace its entire functionality,...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • How to perform regular expression based replacements on files with MSBuild

    - by Daniel Cazzulino
    And without a custom DLL with a task, too . The example at the bottom of the MSDN page on MSBuild Inline Tasks already provides pretty much all you need for that with a TokenReplace task that receives a file path, a token and a replacement and uses string.Replace with that. Similar in spirit but way more useful in its implementation is the RegexTransform in NuGet’s Build.tasks. It’s much better not only because it supports full regular expressions, but also because it receives items, which makes it very amenable to batching (applying the transforms to multiple items). You can read about how to use it for updating assemblies with a version number, for example. I recently had a need to also supply RegexOptions to the task so I extended the metadata and a little bit of the inline task so that it can parse the optional flags. So when using the task, I can pass the flags as item metadata as follows:...Read full article

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  • How To Add MP3 Support to Audacity (to Save in MP3 Format)

    - by YatriTrivedi
    You may have noticed that the default installation of Audacity doesn’t have built-in support for MP3s due to licensing issues.  Here’s how to add it in yourself for free really easily in few simple steps. Photo by bobcat rock Latest Features How-To Geek ETC HTG Projects: How to Create Your Own Custom Papercraft Toy How to Combine Rescue Disks to Create the Ultimate Windows Repair Disk What is Camera Raw, and Why Would a Professional Prefer it to JPG? The How-To Geek Guide to Audio Editing: The Basics How To Boot 10 Different Live CDs From 1 USB Flash Drive The 20 Best How-To Geek Linux Articles of 2010 Five Sleek Audi R8 Car Themes for Chrome and Iron MS Notepad Replacement Metapad Returns with a New Beta Version Spybot Search and Destroy Now Available as a Portable App (PortableApps.com) ShapeShifter: What Are Dreams? [Video] This Computer Runs on Geek Power Wallpaper Bones, Clocks, and Counters; A Look at the First 35,000 Years of Computing

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  • Issues when upgrading gnome-session

    - by Gabriel A. Zorrilla
    I'm having issues since yesterday after an upgrade. GNOME session got messed up somehow and now i cannot install further upgrades nor new apps. Here is what i got from terminal after doing the recommended apt-get install -f; (Reading database ... 166876 files and directories currently installed.) Preparing to replace gnome-session 3.0.1-0ubuntu1~build2 (using .../gnome-session_3.0.2-0ubuntu3~natty1_all.deb) ... Unpacking replacement gnome-session ... dpkg: error processing /var/cache/apt/archives/gnome-session_3.0.2-0ubuntu3~natty1_all.deb (--unpack): trying to overwrite '/usr/share/xsessions/gnome-shell.desktop', which is also in package gnome-shell 3.0.1-0ubuntu1~build1 Errors were encountered while processing: /var/cache/apt/archives/gnome-session_3.0.2-0ubuntu3~natty1_all.deb E: Sub-process /usr/bin/dpkg returned an error code (1) In var/log/apt/history.log, it says: Start-Date: 2011-05-29 17:56:16 Commandline: apt-get -f install Upgrade: gnome-session:amd64 (3.0.1-0ubuntu1~build2, 3.0.2-0ubuntu3~natty1) Error: Sub-process /usr/bin/dpkg returned an error code (1) End-Date: 2011-05-29 17:56:21 No idea what all this means.

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  • SQL Saturday 47 Phoenix February 2011

    - by billramo
    Today I presented data collection strategies for SQL Server 2008 at Phoenix SQL Saturday 47. I’ve attached my deck to this post so that you can get the links and references that I presented. To learn more about the Data Collector, check out these links. SQL Server 2008 Data Collector Proof of Concept – How to get started with Data Collector in your organization SQL Server Query Hash Statistics – Replacement for the shipping Query Statistics collection set Writing Reports Against the Management Data Warehouse – This is part 1 of the series on MDW reports. You can see all the articles through this link. Be sure to click on the attachment link to download the slides.

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  • Is it necessary to read every single byte to check if a copied file is identical to the original?

    - by Koen027
    I recently learned of a program called Total Commander. It's a Windows Explorer replacement and has its own stuff to copy files. To check whether the files are identical, instead of calculation a CRC, it literally checks every single byte, one at a time, on both the original and the copy. My question is: Is this necessary? Can CRC or any other such technique go wrong? Should you, as a programmer, try and implement this perfect but slow system, or is it too extreme?

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  • What's wrong with JavaScript

    - by ts01
    There is a lot of buzz around Dart recently, often questioning Google motivations and utility of Dart as replacement for JavaScript. I was searching for rationale of creating Dart rather than investing more effort in ECMAScript. In well known leaked mail its author is saying that Javascript has historical baggage that cannot be solved without a clean break. But there is only one concrete example given (apart of performance concerns) of "fundamental language problems", which is an existence of a single Number primitive So, my questions are: How an existence of a single Number primitive can be a "fundamental problem"? Are there other known "fundamental problems" in JavaScript?

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  • While installing updates I get "Package operation Failed" for ubuntu 12.04

    - by user54395
    i get the following response in the details:- Please help nstallArchives() failed: perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory (Reading database ... (Reading database ... 5%% (Reading database ... 10%% (Reading database ... 15%% (Reading database ... 20%% (Reading database ... 25%% (Reading database ... 30%% (Reading database ... 35%% (Reading database ... 40%% (Reading database ... 45%% (Reading database ... 50%% (Reading database ... 55%% (Reading database ... 60%% (Reading database ... 65%% (Reading database ... 70%% (Reading database ... 75%% (Reading database ... 80%% (Reading database ... 85%% (Reading database ... 90%% (Reading database ... 95%% (Reading database ... 100%% (Reading database ... 427340 files and directories currently installed.) Preparing to replace thunderbird-trunk-globalmenu 14.0~a1~hg20120409r9862.91177-0ubuntu1~umd1 (using .../thunderbird-trunk-globalmenu_14.0~a1~hg20120409r9866.91235-0ubuntu1~umd1_i386.deb) ... Unpacking replacement thunderbird-trunk-globalmenu ... Preparing to replace thunderbird-trunk 14.0~a1~hg20120409r9862.91177-0ubuntu1~umd1 (using .../thunderbird-trunk_14.0~a1~hg20120409r9866.91235-0ubuntu1~umd1_i386.deb) ... Unpacking replacement thunderbird-trunk ... Processing triggers for man-db ... locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory Processing triggers for bamfdaemon ... Rebuilding /usr/share/applications/bamf.index... Processing triggers for gnome-menus ... Processing triggers for desktop-file-utils ... Setting up crossplatformui (1.0.27) ... Rather than invoking init scripts through /etc/init.d, use the service(8) utility, e.g. service acpid restart Since the script you are attempting to invoke has been converted to an Upstart job, you may also use the stop(8) and then start(8) utilities, e.g. stop acpid ; start acpid. The restart(8) utility is also available. acpid stop/waiting acpid start/running, process 5286 package libqtgui4 exist QT_VERSION = 4 make -C /lib/modules/3.2.0-22-generic/build M=/usr/local/bin/ztemtApp/zteusbserial/below2.6.27 modules make[1]: Entering directory /usr/src/linux-headers-3.2.0-22-generic' CC [M] /usr/local/bin/ztemtApp/zteusbserial/below2.6.27/usb-serial.o /usr/local/bin/ztemtApp/zteusbserial/below2.6.27/usb-serial.c:34:28: fatal error: linux/smp_lock.h: No such file or directory compilation terminated. make[2]: *** [/usr/local/bin/ztemtApp/zteusbserial/below2.6.27/usb-serial.o] Error 1 make[1]: *** [_module_/usr/local/bin/ztemtApp/zteusbserial/below2.6.27] Error 2 make[1]: Leaving directory/usr/src/linux-headers-3.2.0-22-generic' make: * [modules] Error 2 dpkg: error processing crossplatformui (--configure): subprocess installed post-installation script returned error exit status 2 No apport report written because MaxReports is reached already Setting up thunderbird-trunk (14.0~a1~hg20120409r9866.91235-0ubuntu1~umd1) ... Setting up thunderbird-trunk-globalmenu (14.0~a1~hg20120409r9866.91235-0ubuntu1~umd1) ... Errors were encountered while processing: crossplatformui Error in function: SystemError: E:Sub-process /usr/bin/dpkg returned an error code (1) Setting up crossplatformui (1.0.27) ... Rather than invoking init scripts through /etc/init.d, use the service(8) utility, e.g. service acpid restart Since the script you are attempting to invoke has been converted to an Upstart job, you may also use the stop(8) and then start(8) utilities, e.g. stop acpid ; start acpid. The restart(8) utility is also available. acpid stop/waiting acpid start/running, process 5541 package libqtgui4 exist QT_VERSION = 4 make -C /lib/modules/3.2.0-22-generic/build M=/usr/local/bin/ztemtApp/zteusbserial/below2.6.27 modules make[1]: Entering directory /usr/src/linux-headers-3.2.0-22-generic' CC [M] /usr/local/bin/ztemtApp/zteusbserial/below2.6.27/usb-serial.o /usr/local/bin/ztemtApp/zteusbserial/below2.6.27/usb-serial.c:34:28: fatal error: linux/smp_lock.h: No such file or directory compilation terminated. make[2]: *** [/usr/local/bin/ztemtApp/zteusbserial/below2.6.27/usb-serial.o] Error 1 make[1]: *** [_module_/usr/local/bin/ztemtApp/zteusbserial/below2.6.27] Error 2 make[1]: Leaving directory/usr/src/linux-headers-3.2.0-22-generic' make: * [modules] Error 2 dpkg: error processing crossplatformui (--configure): subprocess installed post-installation script returned error exit status 2

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  • Good questions to ask a potential new boss?

    - by David Johnstone
    I first asked this question on Stack Overflow, but it turns out this is a better place for it. Imagine you were working as a software developer. Imagine that the manager of your team leaves and your company is looking for a replacement. Imagine that as part of the hiring process you had the opportunity to talk with him. You are not the only person doing an interview, and while it is not ultimately your decision whether or not to hire him, you do have an influence. What questions would you ask? What would you talk with him about?

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  • What Master degree should a programmer have after "ITC"? [closed]

    - by Saleh Feek
    I am sorry if the question is simple. I studied ITC - Information Technology and Computing program, in an Arab university called "Arab Open University". This university actually takes the courses from the Open University in the UK (through a partnership). (Note: some of the courses in the list are different from what I took due to replacement/updating for materials) .......... I am interested in programming in general. It is the same question but in different ways: What is the master degree that is related to a programmer? Generally for someone like me, what is the required/suggested Master degree? For any suggested Master degree please type the formal name for the master degree, so that I can search for it.

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