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[OtherPHR

Description: Lagrange乘子法 用于解约束最优化问题 -Lagrange multiplier method for the solution of unconstrained optimization problem
Platform: | Size: 2048 | Author: | Hits:

[Mathimatics-Numerical algorithmsmultiplier

Description:
Platform: | Size: 1024 | Author: dong | Hits:

[Mathimatics-Numerical algorithmsConstrained_Optimization_and_Lagrange_Multiplier_M

Description: 一本介绍约束优化方面的经典书籍。对于从事约束优化算法的研究很有帮助。-A book introducing constrained programming. It is beneficial for the algorithm research of constrained programming
Platform: | Size: 11524096 | Author: fd | Hits:

[matlaboptimizationinMatlab

Description: MATLAB最优化计算20例.m文件,包括二次插值,黄金分割,罚函数法,遗传算法,拉格朗日乘子法等-MATLAB Optimization Calculation of 20 cases. M documents, including quadratic interpolation, Golden Section, penalty function method, genetic algorithm, Lagrange multiplier method
Platform: | Size: 215040 | Author: c.k. | Hits:

[OtherAnewdiscretefractionalFouriertransform

Description: A new discrete fractional Fourier transform based on constrained eigendecomposition of DFT matrix by Lagrange multiplier method
Platform: | Size: 97280 | Author: xiaowang | Hits:

[Special Effectsrpca

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.
Platform: | Size: 770048 | Author: bsmsht | Hits:

[matlablamao

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.
Platform: | Size: 164864 | Author: 辉少 | Hits:

[matlabexact_alm_rpca

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。该代码是求解RPCA的一种数值算法——Exact ALM(Exact Augmented Lagrange Multiplier)-The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.
Platform: | Size: 380928 | Author: Bingmiao Huang | Hits:

[Special Effectsinexact_alm_rpca

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!
Platform: | Size: 380928 | Author: Bingmiao Huang | Hits:

[AlgorithmPonytail

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.
Platform: | Size: 168960 | Author: woojin | Hits:

[matlabchengzifa

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.
Platform: | Size: 1024 | Author: 马晓敏 | Hits:

[JSP/Javajdyhff

Description: 经典最优化方法最优化方法是一门古老而又年青的学科。这门学科的源头可以追溯到17世纪法国数学家拉格朗日关于一个函数在一组等式约束条件下的极值问题(求解多元函数极值的Lagrange乘数法)。-Classical optimization methods optimization method is an old and young subjects. The source of this discipline can be traced back to 17th century French mathematician Lagrange function in a group of about a condition of extreme equality constrained problem (solving the extreme value of the Lagrange multiplier Function method).
Platform: | Size: 233472 | Author: 张浩 | Hits:

[Otherlagrange-multiplier

Description: Larange Multipliers-Larange Multipliers...........
Platform: | Size: 107520 | Author: moon | Hits:

[matlabexact_alm_rpca

Description: 增广拉格朗日乘子法,用于解决有损低质矩阵的恢复-The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
Platform: | Size: 4096 | Author: 陶飞 | Hits:

[Windows Developinexact_alm_mc

Description: 增广拉格朗日乘子方法求解RPCA问题的方法,得到矩阵的稀疏成分和低秩成分。-argumented lagrange multiplier method that can make matrix be decomposed to a sparse matrix and low-rank matrix.
Platform: | Size: 384000 | Author: wangchangpeng | Hits:

[Otherlagrange

Description: 求解约束最优化问题,一种途径是在可行域内寻找使目标函数值下降的迭代点列,但是这类方法对于带非线性约束的最优化问题求解效果一般都不理想。因此我们利用另一种途径,即利用问题的目标函数和约束函数构造新的目标函数——罚函数,把约束最优化问题转化为相应的罚函数的无约束最优化问题来求解实际问题。-lagrange constraint multiplier method for the minimum
Platform: | Size: 2048 | Author: 王喜 | Hits:

[matlabLagrange-multiplier

Description: 拉格朗日乘数法 , 主要解决求多元函数条件极值的问题。任何一本《高等数学》,《多元微积分》的教材都会介绍-Lagrange multiplier method, mainly to address the requirements of multi-function conditions extremum. A " higher mathematics" , multivariate calculus textbooks will be introduced
Platform: | Size: 256000 | Author: 王喜 | Hits:

[Software Engineeringthe-Lagrange-multiplier-method-

Description: 约束优化算法:拉格朗日乘子法matlab程序-Constrained optimization algorithm: the Lagrange multiplier method and matlab program
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[matlabmultiplier-method

Description: 基于MATLAB环境下的拉格朗日乘子法的程序,非常实用-Lagrange multiplier method based on MATLAB Environment Program
Platform: | Size: 1024 | Author: jay | Hits:

[OtherLagrange

Description: 使用拉格朗日乘子法解约束优化问题,例子是最优化问题,有3个线性约束(Using the Lagrange multiplier method to solve the constrained optimization problem)
Platform: | Size: 63488 | Author: oubao | Hits:
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