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  • How can I get gradients working in IE9?

    - by gladoscc
    CSS: .silver { color: #636363; border: solid 1px #9C9C9C; background: #D6D6D6; /*important part*/ background: -webkit-gradient(linear, left top, left bottom, from(#E8E8E8), to(#BABABA)); background: -moz-linear-gradient(top, #E8E8E8, #BABABA); -ms-filter: "progid:DXImageTransform.Microsoft.gradient(startColorstr='#e8e8e8', endColorstr='#bababa')"; filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#e8e8e8', endColorstr='#bababa'); padding: 2px 5px 2px 5px; -webkit-border-radius: 5px; -moz-border-radius: 5px; border-radius: 5px; margin-right: 5px; font-size: 95%; } This works when I apply to class to a input / submit button, but the gradients do not display when I apply the class to a span or div. How can I get gradients working in IE9?

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  • How does java.util.Collections.contains() perform faster than a linear search?

    - by The111
    I've been fooling around with a bunch of different ways of searching collections, collections of collections, etc. Doing lots of stupid little tests to verify my understanding. Here is one which boggles me (source code further below). In short, I am generating N random integers and adding them to a list. The list is NOT sorted. I then use Collections.contains() to look for a value in the list. I intentionally look for a value that I know won't be there, because I want to ensure that the entire list space is probed. I time this search. I then do another linear search manually, iterating through each element of the list and checking if it matches my target. I also time this search. On average, the second search takes 33% longer than the first one. By my logic, the first search must also be linear, because the list is unsorted. The only possibility I could think of (which I immediately discard) is that Java is making a sorted copy of my list just for the search, but (1) I did not authorize that usage of memory space and (2) I would think that would result in MUCH more significant time savings with such a large N. So if both searches are linear, they should both take the same amount of time. Somehow the Collections class has optimized this search, but I can't figure out how. So... what am I missing? import java.util.*; public class ListSearch { public static void main(String[] args) { int N = 10000000; // number of ints to add to the list int high = 100; // upper limit for random int generation List<Integer> ints; int target = -1; // target will not be found, forces search of entire list space long start; long end; ints = new ArrayList<Integer>(); start = System.currentTimeMillis(); System.out.print("Generating new list... "); for (int i = 0; i < N; i++) { ints.add(((int) (Math.random() * high)) + 1); } end = System.currentTimeMillis(); System.out.println("took " + (end-start) + "ms."); start = System.currentTimeMillis(); System.out.print("Searching list for target (method 1)... "); if (ints.contains(target)) { // nothing } end = System.currentTimeMillis(); System.out.println(" Took " + (end-start) + "ms."); System.out.println(); ints = new ArrayList<Integer>(); start = System.currentTimeMillis(); System.out.print("Generating new list... "); for (int i = 0; i < N; i++) { ints.add(((int) (Math.random() * high)) + 1); } end = System.currentTimeMillis(); System.out.println("took " + (end-start) + "ms."); start = System.currentTimeMillis(); System.out.print("Searching list for target (method 2)... "); for (Integer i : ints) { // nothing } end = System.currentTimeMillis(); System.out.println(" Took " + (end-start) + "ms."); } }

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  • 2D Car Simulation with Throttle Linear Physics

    - by James
    I'm trying to make a simulation game for an automatic cruise control system. The system simulates a car on varying inclinations and throttle speeds. I've coded up to the car physics but these do note make sense. The dynamics of the simulation are specified as follows: a = V' - V T = (k1)V + ?(k2) + ma V' = (1 - (k1 / m) V) + T - ( k2 / m) * ? Where T = throttle position k1 = viscous friction V = speed V' = next speed ? = angle of incline k2 = m g sin ? a = acceleration m = mass Notice that the angle of incline in the equation is not chopped up by sin or cos. Even the equation for acceleration isn't right. Can anyone correct them or am I misinterpreting the physics?

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  • Linear search vs Octree (Frustum cull)

    - by Dave
    I am wondering whether I should look into implementing an octree of some kind. I have a very simple game which consists of a 3d plane for the floor. There are multiple objects scattered around on the ground, each one has an aabb in world space. Currently I just do a loop through the list of all these objects and check if its bounding box intersects with the frustum, it works great but I am wondering if if it would be a good investment in an octree. I only have max 512 of these objects on the map and they all contain bounding boxes. I am not sure if an octree would make it faster since I have so little objects in the scene.

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  • Polygonal gradients with OpenGL

    - by user146780
    I'm wondering how I could create a gradient wuth multiple stops and a direction if I'm making polygons. Right now I'm creating gradients by changing the color of the verticies but this is limiting. Is there another way to do this? Thanks

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  • Integer Linear Programming Java: Multiple Open Source and Commercial tools are available. Which one

    - by Sandeep Jindal
    Hi, I need to use Integer Linear Programming API/Tool for my application. Though my application is in Java but I don’t mind calling an EXE (Tool) from Java providing input using file (MPS, etc). My search analysis is as follows: There are multiple Open Source and Commercial tools available to solve ILP Following I found and think are useful for my needs. 1. Gnu LP Kit(GLPK): I think this is the oldest and probably most stable and efficient 2. IP_Solve: Has good reviews about it. 3. JavaILP: Found this, but not much reviews about it 4. Apache Common-Math: Supports LP but not ILP, so ruled out. 5. Coin-OR Can you please suggest which one shall be the best in terms of stability, efficiency, acceptance, etc Regards Sandeep Jindal

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  • R: ggplot2, how to get the parameters from a plotted linear model smoother?

    - by John
    I have a data.frame with 3 time series in it, shown below. When I plot them with a smoother time series, I want to be able to get the parameters of the linear model that I plot, but I can't see how to do that? > data day od series_id 1 1 0.10 A1 2 3 1.00 A1 3 5 0.50 A1 4 7 0.70 A1 5 1 1.70 B1 6 3 1.60 B1 7 5 1.75 B1 8 7 1.70 B1 9 1 2.10 C1 10 3 2.30 C1 11 5 2.50 C1 12 7 2.70 C1 data = data.frame (day = c(1,3,5,7,1,3,5,7,1,3,5,7), od = c(0.1,1.0,0.5,0.7 ,1.7,1.6,1.75,1.7 ,2.1,2.3,2.5,2.7), series_id = c("A1", "A1", "A1","A1", "B1", "B1","B1", "B1", "C1","C1", "C1", "C1")) r <- ggplot(data = data, aes(x = day, y = od)) r + stat_smooth(aes(group = series_id, color = series_id),method="lm")

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  • linear algebra libraries for clusters

    - by Abruzzo Forte e Gentile
    Hi all I need to develop applications doing linear algebra + eigenvalue + linear equation solutions over a cluster of pcs ( I have a lot of machines available ). I discovered Scalapack libraries but they seem to me developed long time ago. Do you know if these are other libs available that I should learn doing math & linear algebra in a cluster? My language is C++ and off course I am newbie to this topic. Kind Regards to everybody AFG

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  • Positioning Layers and text gradients with css

    - by Kenji Crosland
    I'm a CSS newbie trying to get some text gradients going on. I tried this code here but it didn't work for me, most likely because the h1 object is nested within a #header div. I imagine there's something to do with layers that I don't know about. Either I get a gradent block that is in front of everything or it's not appearing at all. In this particular instance this code makes a big gradient bar appear in front of everything: #header { clear:both; float:left; -moz-background-inline-policy:continuous; -moz-background-origin:padding; background:#080E73 url(../images/header-background.png) repeat-x left 0px; width:100%; max-height: 175px; color: #080E73; } #header h1 { margin-bottom: 0; color: #000; position: relative; } #header h1 span { background:url(../images/headline-text.png) repeat-x; display: block; width: 100%; height: 100%; position: absolute; } Here is the HTML (I'm using ruby on rails hence the notation) <div id="header"> <% unless flash[:notice].blank? %> <div id="notice"><%= flash[:notice] %></div> <% end %> <%= image_tag ("header-image.png") %> <h1><span></span>Headline</h1> <strong>Byline</strong> ... #navbar html... </div> I tried playing with z-index but I couldn't come up with any good results. Any ideas?

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  • CSS3 Gradients and border-radius leading to extraneous background in webkit

    - by iamfriendly
    Hello all, After my 1st question with relation to CSS3 gradients in which I was recreating an 'inner glow' I've now got to the point where I'm not so happy with the way in which webkit renders the effect. Basically, if you give an element a background colour and apply a border radius to it, webkit lets the background colour "bleed" out to fill the surrounding box (making it look a bit awful) To reproduce the undesirable effect, try something like the following section#featured footer p a { color: rgb(255,255,255); text-shadow: 1px 1px 1px rgba(0,0,0,0.6); text-decoration: none; padding: 5px 10px; border-radius: 15px; -moz-border-radius: 15px; -webkit-border-radius: 15px; background: rgb(98,99,100); -moz-box-shadow: inset 0 0 8px rgba(0,0,0, 0.25); -webkit-box-shadow: inset 0 0 8px rgba(0,0,0, 0.25); } You can see an example of this here: http://iamfriendly.clients.friendlygp.com/ Apparently this appears to be a Windows-only problem, so for those on a Mac, here's a screenshot: (Check the 'carry on reading' button) You'll notice that in Safari/Chrome (the latest available public downloads as well as the latest nightlies as far as I can tell), you get a rather ugly background colour bleed. However, in Firefox, you should be able to see what I'm after. If you're in Internet Explorer, woe betide you. Does anyone know of a technique which will allow me to produce the 'correct' effect? Is there a CSS Property which I've missed that tells webkit to only have the background within the border-radius'd part of the containing box. I could potentially use an image, but I'm really trying to avoid it. Naturally, as we're dealing with CSS3 and the landscape is continually changing, I might just have to 'lump' it and revert to an image. However, if anyone can suggest an alternative I would be very much appreciative!

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  • Nested Linear layout only shows first view after being set from gone to visible in Android

    - by Adam
    Hi guys, I am developing an Android app but I'm still pretty new. I want to have a button, and when you push that button, a few TextViews and Buttons will appear. So I have a main linear layout, and then another linear layout nested inside containing the things I want hidden. I have the nested linear layout set to android:visibility="gone". The problem I am having is that it only shows the first item inside the hidden linear layout instead of all of them. The way I try to make it appear is vgAddView = (ViewGroup)findViewById(R.id.add_details); btnAche.setOnClickListener(new OnClickListener(){ public void onClick(View v){ vgAddView.setVisibility(0); } }); My XML file is this <?xml version="1.0" encoding="utf-8"?> <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android" android:orientation="vertical" android:layout_width="fill_parent" android:layout_height="fill_parent" > <Button android:text="@string/but_stomach_ache" android:id="@+id/but_stomach_ache" android:layout_width="fill_parent" android:layout_height="wrap_content"> </Button> <Button android:text="@string/but_food" android:id="@+id/but_food" android:layout_width="fill_parent" android:layout_height="wrap_content"> </Button> <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android" android:orientation="vertical" android:layout_width="fill_parent" android:layout_height="fill_parent" android:id="@+id/add_details" android:visibility="gone"> <TextView android:orientation="vertical" android:layout_width="fill_parent" android:layout_height="fill_parent" android:text="@string/when_happen"> </TextView> <Button android:text="@string/happen_now" android:id="@+id/happen_now" android:layout_width="fill_parent" android:layout_height="wrap_content"> </Button> </LinearLayout> </LinearLayout>

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  • Excel 2007: plot data points not on an axis/ force linear x-incrementation without altering integrity of non-linear data

    - by Ennapode
    In Excel, how does one go about plotting points that don't have an x component that is an x-axis label? For example, in my graph, the x-components are derived from the cosine function and aren't linear, but Excel is displaying them as if .0016 to .0062 to .0135 is an equal incrementation. How would I change this so that the x-axis has an even incrementation without altering the integrity of the points themselves? In other words, how do I plot a point with an x component independent from the x-axis label?

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  • Video Synthesis - Making waves, patterns, gradients...

    - by Nathan
    I'm writing a program to generate some wild visuals. So far I can paint each pixel with a random blue value: for (y = 0; y < YMAX; y++) { for (x = 0; x < XMAX; x++) { b = rand() % 255; setPixelColor(x,y,r,g,b); } } I'd like to do more than just make blue noise, but I'm not sure where to start (Google isn't helping me much today), so it would be great if you could share anything you know on the subject or some links to related resources.

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  • -moz-linear-gradient

    - by bah
    Hi, Could someone explain to me what this portion of code means? repeat scroll 0 0 #F6F6F6; I have googled a lot and only found syntax to this part -moz-linear-gradient(center top , #FFFFFF, #EFEFEF) My code: background: -moz-linear-gradient(center top , #FFFFFF, #EFEFEF) repeat scroll 0 0 #F6F6F6; Thanks!

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  • Video Synthesis - Making waves, pattern, gradients...

    - by Nathan
    I'm writing a program to generate some trippy visuals. My code paints each pixel with a random blue value which loops at 0.04 second intervals. for (y = 0; y < 5.5; y += 0.2) { for (x = 0; x < 7.5; x += 0.2) { b = rand() / ((double) RAND_MAX); setPixelColor(x,y,r,g,b); } } I'd like to do more than just make blue noise... but my maths is a bit rusty, and Google isn't helping me much today, so it would be great if you could share anything you know about making waves, patterns, gradient animations, etc or links to such material.

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  • Linear Performance Scalability with HP San Solutions

    - by Berzemus
    Hi all, I need a San Solution with linear scalability in size as well as in performance. From what I know, with a Modular Smart Array solution such as the P2000/MSA-class solutions from HP, even with a dual controller initial node, I can only increase the size of it, as added nodes come controller-less, so overall performance tends to decrease. On the other hand, the P4000 (lefthand) family of solutions has each of it's nodes have it's own controller, and so when a node is added, storage capacity as well as performance increase. Am I right in all that I say, and is the P4000 the only solution, or have I forgotten something ?

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  • Linear-time algorithms for sorting vertices in polygon contours

    - by Cheery
    I figured out an algorithm that lets me turn my holed polygons into trapezoids in linear time if I have vertex indices sorted from lowest coordinate to highest. I get simple polygons as contours. They have certain order that might be exploited most of the time. So giving these conditions, is there a near-linear-time algorithm on sorting?

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  • NET Math Libraries

    - by JoshReuben
    NET Mathematical Libraries   .NET Builder for Matlab The MathWorks Inc. - http://www.mathworks.com/products/netbuilder/ MATLAB Builder NE generates MATLAB based .NET and COM components royalty-free deployment creates the components by encrypting MATLAB functions and generating either a .NET or COM wrapper around them. .NET/Link for Mathematica www.wolfram.com a product that 2-way integrates Mathematica and Microsoft's .NET platform call .NET from Mathematica - use arbitrary .NET types directly from the Mathematica language. use and control the Mathematica kernel from a .NET program. turns Mathematica into a scripting shell to leverage the computational services of Mathematica. write custom front ends for Mathematica or use Mathematica as a computational engine for another program comes with full source code. Leverages MathLink - a Wolfram Research's protocol for sending data and commands back and forth between Mathematica and other programs. .NET/Link abstracts the low-level details of the MathLink C API. Extreme Optimization http://www.extremeoptimization.com/ a collection of general-purpose mathematical and statistical classes built for the.NET framework. It combines a math library, a vector and matrix library, and a statistics library in one package. download the trial of version 4.0 to try it out. Multi-core ready - Full support for Task Parallel Library features including cancellation. Broad base of algorithms covering a wide range of numerical techniques, including: linear algebra (BLAS and LAPACK routines), numerical analysis (integration and differentiation), equation solvers. Mathematics leverages parallelism using .NET 4.0's Task Parallel Library. Basic math: Complex numbers, 'special functions' like Gamma and Bessel functions, numerical differentiation. Solving equations: Solve equations in one variable, or solve systems of linear or nonlinear equations. Curve fitting: Linear and nonlinear curve fitting, cubic splines, polynomials, orthogonal polynomials. Optimization: find the minimum or maximum of a function in one or more variables, linear programming and mixed integer programming. Numerical integration: Compute integrals over finite or infinite intervals, over 2D and higher dimensional regions. Integrate systems of ordinary differential equations (ODE's). Fast Fourier Transforms: 1D and 2D FFT's using managed or fast native code (32 and 64 bit) BigInteger, BigRational, and BigFloat: Perform operations with arbitrary precision. Vector and Matrix Library Real and complex vectors and matrices. Single and double precision for elements. Structured matrix types: including triangular, symmetrical and band matrices. Sparse matrices. Matrix factorizations: LU decomposition, QR decomposition, singular value decomposition, Cholesky decomposition, eigenvalue decomposition. Portability and performance: Calculations can be done in 100% managed code, or in hand-optimized processor-specific native code (32 and 64 bit). Statistics Data manipulation: Sort and filter data, process missing values, remove outliers, etc. Supports .NET data binding. Statistical Models: Simple, multiple, nonlinear, logistic, Poisson regression. Generalized Linear Models. One and two-way ANOVA. Hypothesis Tests: 12 14 hypothesis tests, including the z-test, t-test, F-test, runs test, and more advanced tests, such as the Anderson-Darling test for normality, one and two-sample Kolmogorov-Smirnov test, and Levene's test for homogeneity of variances. Multivariate Statistics: K-means cluster analysis, hierarchical cluster analysis, principal component analysis (PCA), multivariate probability distributions. Statistical Distributions: 25 29 continuous and discrete statistical distributions, including uniform, Poisson, normal, lognormal, Weibull and Gumbel (extreme value) distributions. Random numbers: Random variates from any distribution, 4 high-quality random number generators, low discrepancy sequences, shufflers. New in version 4.0 (November, 2010) Support for .NET Framework Version 4.0 and Visual Studio 2010 TPL Parallellized – multicore ready sparse linear program solver - can solve problems with more than 1 million variables. Mixed integer linear programming using a branch and bound algorithm. special functions: hypergeometric, Riemann zeta, elliptic integrals, Frensel functions, Dawson's integral. Full set of window functions for FFT's. Product  Price Update subscription Single Developer License $999  $399  Team License (3 developers) $1999  $799  Department License (8 developers) $3999  $1599  Site License (Unlimited developers in one physical location) $7999  $3199    NMath http://www.centerspace.net .NET math and statistics libraries matrix and vector classes random number generators Fast Fourier Transforms (FFTs) numerical integration linear programming linear regression curve and surface fitting optimization hypothesis tests analysis of variance (ANOVA) probability distributions principal component analysis cluster analysis built on the Intel Math Kernel Library (MKL), which contains highly-optimized, extensively-threaded versions of BLAS (Basic Linear Algebra Subroutines) and LAPACK (Linear Algebra PACKage). Product  Price Update subscription Single Developer License $1295 $388 Team License (5 developers) $5180 $1554   DotNumerics http://www.dotnumerics.com/NumericalLibraries/Default.aspx free DotNumerics is a website dedicated to numerical computing for .NET that includes a C# Numerical Library for .NET containing algorithms for Linear Algebra, Differential Equations and Optimization problems. The Linear Algebra library includes CSLapack, CSBlas and CSEispack, ports from Fortran to C# of LAPACK, BLAS and EISPACK, respectively. Linear Algebra (CSLapack, CSBlas and CSEispack). Systems of linear equations, eigenvalue problems, least-squares solutions of linear systems and singular value problems. Differential Equations. Initial-value problem for nonstiff and stiff ordinary differential equations ODEs (explicit Runge-Kutta, implicit Runge-Kutta, Gear's BDF and Adams-Moulton). Optimization. Unconstrained and bounded constrained optimization of multivariate functions (L-BFGS-B, Truncated Newton and Simplex methods).   Math.NET Numerics http://numerics.mathdotnet.com/ free an open source numerical library - includes special functions, linear algebra, probability models, random numbers, interpolation, integral transforms. A merger of dnAnalytics with Math.NET Iridium in addition to a purely managed implementation will also support native hardware optimization. constants & special functions complex type support real and complex, dense and sparse linear algebra (with LU, QR, eigenvalues, ... decompositions) non-uniform probability distributions, multivariate distributions, sample generation alternative uniform random number generators descriptive statistics, including order statistics various interpolation methods, including barycentric approaches and splines numerical function integration (quadrature) routines integral transforms, like fourier transform (FFT) with arbitrary lengths support, and hartley spectral-space aware sequence manipulation (signal processing) combinatorics, polynomials, quaternions, basic number theory. parallelized where appropriate, to leverage multi-core and multi-processor systems fully managed or (if available) using native libraries (Intel MKL, ACMS, CUDA, FFTW) provides a native facade for F# developers

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  • How to choose an integer linear programming solver ?

    - by Cassie
    Hi all, I am newbie for integer linear programming. I plan to use a integer linear programming solver to solve my combinatorial optimization problem. I am more familiar with C++/object oriented programming on an IDE. Now I am using NetBeans with Cygwin to write my applications most of time. May I ask if there is an easy use ILP solver for me? Or it depends on the problem I want to solve ? I am trying to do some resources mapping optimization. Please let me know if any further information is required. Thank you very much, Cassie.

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  • How to choose a integer linear programming solver ?

    - by Cassie
    Hi all, I am newbie for integer linear programming. I plan to use a integer linear programming solver to solve my combinational optimization problem. I am more familiar with C++/object oriented programming on an IDE. Now I am using NetBeans with Cygwin to write my applications most of time. May I ask if there is an easy use ILP solver for me? Or does it depend on the problem I want to solve ? I am trying to do some resources mapping optimization. please let me know if any further information is required. Thank you very much, Cassie.

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  • How to find minimum of nonlinear, multivariate function using Newton's method (code not linear algeb

    - by Norman Ramsey
    I'm trying to do some parameter estimation and want to choose parameter estimates that minimize the square error in a predicted equation over about 30 variables. If the equation were linear, I would just compute the 30 partial derivatives, set them all to zero, and use a linear-equation solver. But unfortunately the equation is nonlinear and so are its derivatives. If the equation were over a single variable, I would just use Newton's method (also known as Newton-Raphson). The Web is rich in examples and code to implement Newton's method for functions of a single variable. Given that I have about 30 variables, how can I program a numeric solution to this problem using Newton's method? I have the equation in closed form and can compute the first and second derivatives, but I don't know quite how to proceed from there. I have found a large number of treatments on the web, but they quickly get into heavy matrix notation. I've found something moderately helpful on Wikipedia, but I'm having trouble translating it into code. Where I'm worried about breaking down is in the matrix algebra and matrix inversions. I can invert a matrix with a linear-equation solver but I'm worried about getting the right rows and columns, avoiding transposition errors, and so on. To be quite concrete: I want to work with tables mapping variables to their values. I can write a function of such a table that returns the square error given such a table as argument. I can also create functions that return a partial derivative with respect to any given variable. I have a reasonable starting estimate for the values in the table, so I'm not worried about convergence. I'm not sure how to write the loop that uses an estimate (table of value for each variable), the function, and a table of partial-derivative functions to produce a new estimate. That last is what I'd like help with. Any direct help or pointers to good sources will be warmly appreciated. Edit: Since I have the first and second derivatives in closed form, I would like to take advantage of them and avoid more slowly converging methods like simplex searches.

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