Description: 工程优化和数值计算中常用的优化程序，包括
lp,nlp,linesearch,lagrange,dfp等-engineering optimization and numerical calculation of the optimal common procedures, including lp, NLP, linesearch, Hangzhou, Moscow, etc. Platform: |
Size: 12036 |
Author:snow |
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Description: 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show that this method can be effective for the separation of independent components. Platform: |
Size: 89798 |
Author:周周 |
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Description: 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show that this method can be effective for the separation of independent components. Platform: |
Size: 89088 |
Author:周周 |
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Description: 工程优化和数值计算中常用的优化程序，包括
lp,nlp,linesearch,lagrange,dfp等-engineering optimization and numerical calculation of the optimal common procedures, including lp, NLP, linesearch, Hangzhou, Moscow, etc. Platform: |
Size: 11264 |
Author:snow |
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Description: 一种用C＋＋编的罚函数内点法进行的优化程序设计，解决有关优化问题，可以使用，抄来的，仅供己用-a C++ compile penalty function interior point method for optimizing the design process and solve the optimization problem, it can use, copied, only for their own use! Platform: |
Size: 2048 |
Author: |
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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 |
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Description: 拉格朗日算法 是一种最优化算法。通过拉格朗日算法可以获得问题的下界。-langrangian algorithm is an optimiazation to slovle the optimization problem Platform: |
Size: 155648 |
Author:陈丽 |
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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! Platform: |
Size: 380928 |
Author:Bingmiao Huang |
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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 |
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Description: 用基于拉格朗日函数Hesse阵的SQP方法求解约束优化问题-Hesse matrix based on Lagrange function with the SQP method for solving constrained optimization problems Platform: |
Size: 2048 |
Author:蔡萃英 |
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Description: 在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。-In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the objective function and Lagrange multipliers. Platform: |
Size: 52224 |
Author:程征 |
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Description: 适合于研究生课程最优化方法，基于matlab软件的一个优化算例程序-Suitable for graduate courses optimization method based on a study program matlab optimization software Platform: |
Size: 2048 |
Author:CHEN |
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Description: 基于最差性能最优的稳健波束形成算法可以等价转换成加载样本矩阵求逆(LSMI)算法.提出了
一种新的求解方法, 准确地计算出Lag range 乘数, 给出了LSMI 算法中的最优加载量, 解决了对角加载技术中加载量估计难题.-The robust adaptiv e beamformer using w orse-case performance optimization can be converted to the loaded sample ma trix inv ersion (LSMI) algorithm equivalently.For the LSMI beamformer , a
no vel method is develo ped to so lve the precise Lagrange multiplier , and the o ptimal loading level can be
computed exactly.Most important, this method gives the efficient solution to finding the optimal loading
level for diagonal loading. Platform: |
Size: 313344 |
Author:treedev |
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Search - lagrange optimization