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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.
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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 t
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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
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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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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
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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
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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 mult
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详细介绍了matlab插值与拟合方法，包括拉格朗日多项式插值、牛顿插值、分段线性插
值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例-Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear inte
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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 (LS
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数学最优问题中，拉格朗日乘数法（以数学家约瑟夫·路易斯·拉格朗日命名）是一种寻找变量受一个或多个条件所限制的多元函数的极值的方法。(In the mathematical optimization problem, the Lagrange multiplier method (named by the mathematician Joseph Luis Lagrange) is a method of finding the extremum of a multivariate functio
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