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一个用拟牛顿算法求解优化问题的程序,此程序为MATLAB程序,大家用前自己注意检查一下,A Quasi-Newton algorithm using optimization procedures, the procedures for the MATLAB program, we pay attention to before their own check
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拟牛顿法(变尺度法)DFP算法的c/c++源码.变尺度法的源程序,用于优化中的非线性规划,效果还可以的,Quasi-Newton method [DFP] DFP algorithm c/c++ source code. DFP source for the optimization of nonlinear programming, the effect can also be the
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LM算法
老外写的The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It
outperforms simple gradient descent and other conjugate gradient methods in a wide variety of
problems. This document aims to provide an intuitiv
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这个是优化方法中的一种方法,叫做牛顿法,是一种简单实用的迭代方法。-This is the optimization of a method, called Newton s law, is a simple practical iterative method.
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此源码包是我本学期最优化理论课程的大作业,其中包括了我自己写的以下常用最优化算法的实现代码:最速下降法,牛顿法,非线性最小二乘法,DFP法。fun1,fun2是两个测试函数。谢谢!-This is my source packages optimization theory this semester courses in large operations, including my own to write the following commonly used optimization al
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牛顿优化算法源fortran代码,带数据,非常适合研究-Newton optimization code in fortran,with data,fit to research.
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最优化方法实验设计,研究Broyden族拟Newton算法中fai(k)取值的优化问题,即对于不同的目标函数,考虑取何值时算法是最优的,重点考察的区间[-2 2]范围内的变化情况,算法的优劣程度由CPU运行时间决定。-Optimization method, design of experiments to study the proposed Newton algorithm Broyden family fai (k) values of the optimization problem,
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基于最速下降法、牛顿法、共轭梯度法的matlab程序
-Steepest descent
Newton
conjugate gradient method
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数值计算中求解最优化问题时
针对无约束优化问题的牛顿法求解算法代码-Solving numerical optimization problems in the unconstrained optimization problem for the Newton algorithm code
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用于最优化牛顿法计算,可以实现目标函数求最小值问题,-Newton' s method for optimization, can achieve the objective function for the minimum problem, thank you
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共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。-Conjugate Gradient method (Conjugate Gradie
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最优化算法里边的Newton切线法,VC++6.0环境编译通过-Optimization algorithm of Newton tangent method
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拟牛顿法(Quasi-Newton Methods)是求解非线性优化问题最有效的方法之一。其实DFP算法、BFGS算法都属于拟牛顿法,即,DFP、BFGS都分别是一种拟牛顿法-Quasi-Newton method (Quasi-Newton Methods) is one of the most effective methods for solving nonlinear optimization problems. In fact, the DFP algorithm, BFGS algo
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最优化算法中的使用非单调线搜索求步长的拟牛顿算法的源码,matlab编程实现,希望对大家有用-The use of non-monotonic line optimization algorithm to search seeking step quasi-Newton algorithm source code, Matlab programming, and hope to be useful
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C++编写的电力系统潮流计算程序,采用牛顿法,并考虑到节电优化编号,5,14,57,300节点验证正确-Power flow calculation program, C++ written using Newton' s method, taking into account the number to the power-saving optimization, 5,14,57,300 node authentication
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数学最优化工具箱,内含0.618法,Fibonacci法,共轭梯度法,你牛顿法,牛顿法,最速下降法。每个算法都有一个实例用matlab实现-Mathematical optimization toolbox, containing 0.618 Fibonacci method, conjugate gradient method, Newton, Newton, steepest descent method. Each algorithm has an example of using mat
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A Truncated-Newton optimization package优化算法包-This algorithm aims at minimizing the value of a nonlinear function whose variables are subject to bound constraints. It requires to be able to evaluate the function and its gradient and is especially usef
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牛顿算法解决一维函数优化的问题,上课的例题,真实可信-Newton optimization algorithm to solve the problem of one-dimensional function, class examples, authentic
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牛顿算法用于二维函数的优化,自己做的例子,可以运行无错误-Newton optimization algorithm for the two-dimensional function, make their own case, you can run without error
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用BFGS 拟牛顿法 最速下降法 牛顿法 共轭梯度法 解决线性优化问题(Solving linear optimization problems with conjugate gradient method and Steepest descent method.)
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