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Description: 10个重要的算法C语言实现源代码：拉格朗日，牛顿插值，高斯，龙贝格，牛顿迭代，牛顿-科特斯，雅克比，秦九昭，幂法，高斯塞德尔 -10 key algorithm C language source code: Lagrange, Newton interpolation, Gaussian, Romberg, Newton, Newton- Cortez, Jacobi, Qinjiu Zhao, power method, high Sisedeer
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Author: Robert |
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Description: Lagrange configurator for python (beta)
lagrange 小程式，请參考-The current version of Lagrange requires that Python is already installed on your computer. It also requires two Python libraries: scipy and numpy. On Windows, install packages that match your version of Python (recommended: Python 2.5).
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Author: bor |
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Description: 拉格朗日差值法的matlab代码,好用，希望对大家有所帮助-lagrange codes
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Size: 5120 |
Author: liu genlin |
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Description: Interpolation using Lagrange
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Size: 1024 |
Author: cumatru |
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Description: RobustPCA 是最近提出的一种非常新的图像矩阵分解算法，该算法具有对噪声不敏感、能处理高维图像数据的特点。这是论文作者提供的 MATLAB 实现代码。-Oct 2009
This matlab code implements the augmented Lagrange multiplier method for
Robust PCA.
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Size: 770048 |
Author: bsmsht |
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Description: 用拉格朗日乘子法求解约束最优化问题，很好的实例程序。-Lagrange multiplier method for solving constrained optimization problems, very good example programs.
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Size: 164864 |
Author: 辉少 |
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Description: 拉格朗日多项式拟合卫星精密星历-lagrange
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Size: 1024 |
Author: 冯磊 |
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Description: Lagrange数值计算，根据键盘输入的插值点进行Lagrange插值-Lagrange
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Size: 1024 |
Author: wenmin |
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Description: RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！-RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!
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Size: 380928 |
Author: Bingmiao Huang |
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Description: 实现拉格朗日插值，和用拉格朗日插值拟合函数-Lagrange interpolation to achieve, and the fitting function with the Lagrange interpolation
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Size: 1024 |
Author: can |
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Description: matlab源代码很有用那个的软件，配合许多电子软件使用-matlab source code
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Size: 3072 |
Author: 乙炔 |
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Description: 一种简单实现高斯切比雪夫，拉格朗日，龙哥库塔的插值算法，MATLAB实现-A simple high Siqie Chebyshev, Lagrange, Long Ge Kuta interpolation algorithm, MATLAB implementation
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Size: 1024 |
Author: mayao |
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Description: 拉格朗日插值法的编程语言，经典的数值计算程序，经过程序的调试-Lagrange interpolation of programming languages, classic numerical calculation procedure, after debugging
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Size: 2048 |
Author: hansome |
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Description: 拉格朗日插值Matlab编程实现//拉格朗日插值Matlab编程实现-Lagrange Interpolation Matlab programming
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Size: 1024 |
Author: dugumengyouzi |
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Description: How to Simulate A Ponytail - The Sample App
This is a very simple Lagrange Multiplier constrained dynamics
simulator to accompany my articles and lectures on How to Simulate a
Ponytail.
For more information, see http://chrishecker.com/How_to_Simulate_a_Ponytail
The code should be relatively portable. There s a glut interface that
has probably rotted but shouldn t be too hard to get working.
The Ax=b matrix solver is from http://www.netlib.org/c/sge.shar, and I
think it s public domain because it s a US Government contribution.
If you ve got Visual C++ 6.0 installed and have an OpenGL library, you can compile and execute it. -How to Simulate A Ponytail - The Sample App
This is a very simple Lagrange Multiplier constrained dynamics
simulator to accompany my articles and lectures on How to Simulate a
Ponytail.
For more information, see http://chrishecker.com/How_to_Simulate_a_Ponytail
The code should be relatively portable. There s a glut interface that
has probably rotted but shouldn t be too hard to get working.
The Ax=b matrix solver is from http://www.netlib.org/c/sge.shar, and I
think it s public domain because it s a US Government contribution.
If you ve got Visual C++ 6.0 installed and have an OpenGL library, you can compile and execute it.
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Size: 168960 |
Author: woojin |
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Description: 这个matlab程序实现了牛顿插值 （Newton s Interpolation ）算法-This function performs the Lagrange interpolation of a function and its derivative. Approximations and Interpolation.
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Author: AresOne |
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Description: 基本的拉格朗日乘子法(又称为拉格朗日乘数法)，就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ（即拉格朗日乘子），将约束条件函数与原函数联系到一起，使能配成与变量数量相等的等式方程，从而求出得到原函数极值的各个变量的解。
-Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.
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Author: 马晓敏 |
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Description: In numerical analysis, Lagrange polynomials are used for polynomial interpolation. For a given set of distinct points xj and numbers yj, the Lagrange polynomial is the polynomial of the least degree that at each point xj assumes the corresponding value yj (i.e. the functions coincide at each point). The interpolating polynomial of the least degree is unique, however, and it is therefore more appropriate to speak of "the Lagrange form" of that unique polynomial rather than "the Lagrange interpolation polynomial," since the same polynomial can be arrived at through multiple methods. Although named after Joseph Louis Lagrange, it was first discovered in 1779 by Edward Waring and rediscovered in 1783 by Leonhard Euler.
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Author: stefan |
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Description: 实现拉格朗日插值的算法，例子演示六个样子点的情况。-Lagrange interpolation algorithm to achieve, examples like the six points of the case presentation
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Size: 1024 |
Author: 李明 |
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Description: 拉格朗日算法 计算方法 给力 加油 不错-Lagrange method
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Size: 1024 |
Author: 张三 |
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