搜索资源列表
matlab
- 非线性方程组数值解法之拟牛顿法matlab程序代码-The numerical method for solving the nonlinear equations of the quasi-newton method of matlab program code
ninewon09.6
- 拟牛顿法的matlab应用,提供matlab程序,数值分析核心方法-Quasi-Newton method matlab applications, providing matlab program, the core numerical analysis method
BP-neural
- LM算法和BFGS拟牛顿算法对BP神经网络的性能影响分析,我的课题作业,希望对大家有帮助。-The performance analysis basde on the impact on BP neural network of LM and BFGS quasi-Newton algorithm , the subject of my work, I hope to be helpful.
Disrete-Analysis
- 数值分析内:二分法、牛顿法、拟牛顿法、微分数值解法、插值、最小二乘等六个实验的源码-source code of discrete analysis ,including newton,dual and other four algorithms
Newton-method-proposed-summary
- 拟牛顿法变种众多,实际中应用广泛。本文就拟牛顿法进行比较全面的探讨,特别是考察每种变种算法的设计思想以及不同变种算法之间的横向对比。-Newton method proposed summary
matlab
- 牛顿最优解拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化,构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法,尤其对于困难的问题。另外,因为拟牛顿法不需要二阶导数的信息,所以有时比牛顿法(Newton s Method)更为有效。-Newton optimal solution
BFGS
- 数学计算方法,拟牛顿BFGS算法,使用matlab编写-Mathematical calculation method, quasi-Newton BFGS algorithm, using matlab prepared
BFGS
- 采用BFGS的拟牛顿方法解决无约束非线性优化的问题-BFGS quasi-Newton method to solve the problem using unconstrained nonlinear optimization
ninewton
- 拟牛顿法求解方程,计算每一步的结果以及最终迭代次数-Quasi-Newton method for solving equations, each step of the calculation results and the final iterations
source
- owlqn, 解L1最优化的拟牛顿法,理论参见微软论文Scalable Training of L1-Regularized Log-Linear Models-owlqn, Scalable Training of L1-Regularized Log-Linear Models
nonlinear-algorithm
- 非线性算法合集,包括牛顿拉夫逊法,Broyden拟牛顿法,弧长法,割线法。每种算法都包含有线性搜索迭代改进。-Nonlinear algorithm collection, including Newton Raphson, Broyden quasi-Newton method, arc-length method, secant method. Each contains a linear search algorithms for
Niniudun
- 拟牛顿算法,一种解决全局最优化问题很好的算法,经测试效果很好-Quasi Newton algorithm, a good algorithm to solve the problem of global optimization, the test result is very good
no-line-equation-solve
- 非线性方程组的BFGS解法。该方法可有效求解非线性方程组,是目前公认的最好的拟牛顿方法-no-line equations solv
Unconstrained-optimization-method
- 本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解,以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍,并对各种方法进行了Matlab编程实验,得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序,非常适合初学者学习与研究。-The resources are mainly in the matrix decomposition
minDFP
- 拟牛顿法求解多维函数的极值 function [x,minf]=minDFP(f,x0,var,eps) 目标函数:f 初始点:x0 自变量向量:var 精度:eps 目标函数取最小值时的自变量值:x 目标函数的最小值:minf- Quasi-Newton method for solving the multi-dimensional function of the extreme valu
GeneralQuasiNewton
- 用以求解非线性优化问题的高斯拟牛顿法程序,使用简单-a program to solve nonliear optimization problem using Quasi-Newton method, which is easy to use
QN
- 解决优化问题中的拟牛顿法,压缩包含有算法需要的所有函数-This code can realize the quasi-Newton method to solve an optimized problem
LBFGS
- 简化空间的SQP算法,采用拟牛顿的方法计算搜索方向,不需要二阶导数信息;不需要初始可行解;具有快速收敛性甚至超线性收敛性。-Simplify space SQP algorithm, using quasi-Newton method to calculate the direction of the search, no second derivative information no initial feasible soluti
quasi-newton-method
- 几种不同的拟牛顿法解决无约束问题: min f(x)-Several different quasi-Newton method to solve the unconstrained problem: min f (x)
programming
- 优化问题,包括一维搜索,最速下降法,牛顿法,拟牛顿法等无约束极值问题的求解方法-optimization problem