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无约束多维极值问题,包含
用模式搜索法求解多维函数的极值
用Rosenbrock法求解多维函数的极值
用单纯形搜索法求解多维函数的极值
用Powell法求解多维函数的极值
用最速下降法求解多维函数的极值
用共轭梯度法求解多维函数的极
用牛顿法求解多维函数的极值
用修正牛顿法求解多维函数的极值
用DFP法求解多维函数的极值
用BFGS法求解多维函数的极值
用信赖域法求解多维函数的极值
用显式最速下降法求正定二次函数的极值
-Unconstrain
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共轭梯度法的matlab实现,给出任意的一个对称矩阵,可通过较小的迭代次数得到所要求精度的数值解-Conjugate gradient method matlab to achieve, given any symmetric matrix by a smaller number of iterations to obtain the required accuracy of the numerical solution
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运用共轭梯度法和复合型法求函数的最小值,可以优化用-Can be optimized with the use of the conjugate gradient method and Method composite function of the minimum
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fortran的小程序,不完全乔列斯基分解的双复共轭梯度法(ICCG)求解方程组-the fortran applet, incomplete Cholesky decomposition of the dual complex conjugate gradient method (ICCG) solving equations
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无约束最优化中经典的共扼梯度法matlab程序-Unconstrained optimization in classic conjugate gradient method matlab program
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FR共轭梯度法求非线性无约束最优化(函数极值)问题-FR conjugate gradient method for solving nonlinear unconstrained optimization (function extremum) problem
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改进的共轭梯度法,具有很好的收敛效果,达到整体最有,在MATLAB中实现。-Improved conjugate gradient method, has a good convergence effect, to achieve the overall most realized in MATLAB.
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本matlab程序用共轭梯度法来求解多元模型的最小值(给出最小值和精度情况)-The matlab program conjugate gradient method to solve the minimum multivariate model (given the minimum and the accuracy of the situation)
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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。-Conjugate Gradient Method (Conjugate Gradient) is between the steepest descent method between a law an
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介绍了一个优化算法,共轭梯度法的C语言源码-Introduced an optimization algorithm, the Conjugate Gradient Method C language source code
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共轭梯度法实现图像恢复,The conjugate gradient method for image restoration
-The conjugate gradient method for image restoration
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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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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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