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该程序是一个简单的递推最小二乘法(rls)、共轭梯度法(grad)以及黄金分割法,输入数据,能够计算出来-The program is a simple recursive least squares (RLS), the conjugate gradient method (grad) and golden section method, the input data, can be calculated
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共轭梯度法寻找最小值,输出最小值点坐标,迭代次数等信息-Conjugate gradient method to find the minimum
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共轭梯度法求解多维函数的极值
function [x,minf]=minGETD(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- Conjugate gradient method for solving the multi-dimensional function of the extreme value function [x, minf] =
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共轭梯度法求解多维问题,已经经过实际函数操作验证。-Conjugate gradient method for solving the multi-dimensional issues, has been operating the actual function verification.
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共轭梯度法求借无约束最优化问题和对称正定线性方程【自己原创编写的程序,已经过测试】-Conjugate Gradient Methods Solve Optimal Question And Linear Eqution【Self developed program, and tests had been conducted】
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共轭梯度法求解无约束最优化问题,采用Wolfe线搜索和armijo算法,还有对各种修正方法(HS,DY...)的对比【自己编写的】-Conjugate Gradient Methods Solve Optimal Question And Linear Eqution
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全波形反演最速下降法,共轭梯度发matlab程序。仅供参考-Matlab conjugate gradient method
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共轭梯度法,一种适合于研究生最优化方法课程的小程序,基于matlab的一个算例仿真-Conjugate gradient method, which is suitable for most graduate programs applet optimization, simulation based on a study of matlab
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用VC++应用到最优化算法中的共轭梯度法-Using VC++ applied to the optimization algorithm of the conjugate gradient method
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利用共轭梯度法求解压力泊松方程的fortran程序-Conjugate Gradient Method for Solving Poisson equation of pressure fortran program
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求解正定二次函数的共轭梯度法及其改进算法。-Conjugate Gradient Method for Solving Positive Definite Quadratic Functions and Its Improved Algorithm.
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无约束多维极值算法 共轭梯度法 用共轭梯度法求解多维函数的极值(Unconstrained multidimensional extreme value algorithm; conjugate gradient method)
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共轭梯度法的课件(Conjugate gradient method)
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用matlab编程计算共轭梯度法求二次型方程的最值。(The conjugate gradient method is used to calculate the maximum value of the two type equation by MATLAB programming)
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通过共轭梯度法进行多参数优化,且参数优化的精确度可调。(Multi parameters optimization based on the conjugate gradient method,and the precision of these parameters can be adjusted.)
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使用最速下降法和共轭梯度法实现优化功能,基于MATLAB平台使用m语言编写(Based on the MATLAB platform, steepest descent method and conjugate gradient method are used to achieve the optimization function with M language.)
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共轭梯度算法,进行一个共轭对称矩阵的运算,速度极快。(Conjugate gradient algorithm, for a conjugate symmetric matrix operation, the speed is extremely fast.)
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解决了最小无约束优化问题 步长由ARmijo非精确一维搜索生成,迭代方向分别由最速下降法,阻尼牛顿法,共轭梯度法,拟牛顿法(BFGS)产生(This code solves the minimum unconstrained optimization problem, and the step size is generated by ARmijo inexact one-dimensional search. The iterative directions are generated b
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共轭梯度法求解N*N对称正定方程组,将解方程组问题转化一个最优化问题。(The conjugate gradient method is used to solve the N*N symmetric positive definite equations, and the problem of solving the equation set is transformed into an optimization problem.)
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吉文斯QR分解,豪斯霍尔德QR分解,三值样条插值法,共轭梯度法,4阶R-K分解(Givens QR decomposition, Moorhouse Holder QR decomposition, three value spline interpolation, conjugate gradient method, 4 order R-K decomposition)
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