Description: matlab编程的三个线性方程组求解子程序：cggm.m,fdm.m,febs.m.其中cggm.m为共轭梯度法求解子程序,fdm.m为最速下降法求解自程序,febs.m为三对角追赶法求解子程序.-Matlab programming three linear equations subroutine : cggm.m, fdm.m. febs.m. which cggm.m to conjugate gradient method subroutine, fdm.m for the steepest decline since the method procedures febs.m angle to catch up with three pairs method subroutine. Platform: |
Size: 1578 |
Author:王礼广 |
Hits:
Description: matlab编程的三个线性方程组求解子程序：cggm.m,fdm.m,febs.m.其中cggm.m为共轭梯度法求解子程序,fdm.m为最速下降法求解自程序,febs.m为三对角追赶法求解子程序.-Matlab programming three linear equations subroutine : cggm.m, fdm.m. febs.m. which cggm.m to conjugate gradient method subroutine, fdm.m for the steepest decline since the method procedures febs.m angle to catch up with three pairs method subroutine. Platform: |
Size: 1024 |
Author:王礼广 |
Hits:
Description: 压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数-Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function Platform: |
Size: 4096 |
Author:闫安心 |
Hits:
Description: 病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示：
病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。
程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。
-Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on. Platform: |
Size: 6144 |
Author:陈永恒 |
Hits:
Description: matlab最优化程序包括
无约束一维极值问题
进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法
Goidstein法 Wolfe.Powell法
单纯形搜索法 Powell法 最速下降法
共轭梯度法 牛顿法 修正牛顿法
拟牛顿法 信赖域法 显式最速下降法，
Rosen梯度投影法
罚函数法 外点罚函数法 內点罚函数法
混合罚函数法 乘子法
G－N法 修正G－N法 L－M法
线性规划 单纯形法 修正单纯形法
大M法 变量有界单纯形法
整数规划 割平面法 分支定界法
0-1规划 二次规划
拉格朗曰法 起作用集算法
路径跟踪法
粒子群优化算法 基本粒子群算法 带压缩因子的粒子群算法 权重改进的粒子群算法
线性递减权重法 自适应权重法
随机权重法 变学习因子的粒子群算法
同步变化的学习因子
异步变化的学习因子 二阶粒子群算法
二阶振荡粒子群算法
-matlab optimization process includes
Non-binding one-dimensional extremum problems
Advance and retreat method Golden Section Fibonacci method of basic Newton s method Newton s method Newton s Law of the global secant method parabola method acceptable to the three interpolation search method
Goidstein France Wolfe.Powell France
Simplex search method Powell steepest descent method
Conjugate gradient method Newton s method Newton s method to amend
Quasi-Newton Method trust region method explicitly steepest descent method,
Rosen gradient projection method
Penalty function method outside the penalty function method within the penalty function method
Mixed penalty function multiplier method
G-N was amended in G-N method L-M method
Of linear programming simplex method, revised simplex method
Big M method variables bounded simplex method,
Cutting Plane Method integer programming branch and bound method
0-1 programming quadratic programming
Platform: |
Size: 38912 |
Author:百位过 |
Hits:
Description: 最优化计算的牛顿法＋共轭梯度法的MATLAB程序
共包含五个 m文件
-Newton optimization calculation method+ conjugate gradient method of MATLAB program file contains a total of 5 m Platform: |
Size: 2048 |
Author:touquezheng |
Hits:
Description: 3．1 线性方程组类设计
3．2 全选主元高斯消去法
3．3 全选主元高斯-约当消去法
3．4 复系数方程组的全选主元高斯消去法
3．5 复系数方程组的全选主元高斯-约当消去法
3．6 求解三对角线方程组的追赶法
3．7 一般带型方程组的求解
3．8 求解对称方程组的分解法
3．9 求解对称正定方程组的平方根法
3．10 求解大型稀疏方程组的全选主元高斯-约当消去法
3．11 求解托伯利兹方程组的列文逊方法
3．12 高斯-赛德尔迭代法
3．13 求解对称正定方程组的共轭梯度法
3．14 求解线性最小二乘问题的豪斯荷尔德变换法
3．15 求解线性最小二乘问题的广义逆法
3．16 病态方程组的求解 -3.1 system of linear equations class designs 3.2 to choose the principal element gaussian elimination 3.3 to elect principal element Gauss- when approximately the elimination 3.4 duplicate coefficient equation sets all choose the principal element gaussian elimination 3.5 duplicate coefficient equation sets to elect principal element Gauss- when approximately the elimination 3.6 solve three diagonal line equation sets to pursue the law 3.7 common belt equation set s solution 3.8 solution symmetrical equation set s resolution 3.9 solution symmetrical Zhengding equation set s square root method 3.10 solution large-scale sparse equation set to elect principal element Gauss- when approximately the elimination 3.11 solutions hold the Belize equation set s row article to abdicate House Holland who method 3.12 Gauss- the Seydell repetitive process 3.13 solution symmetrical Zhengding equation set s conjugate gradient method 3.14 solution linearity is smallest two rides the questionThe German m Platform: |
Size: 71680 |
Author:王健 |
Hits:
Description: 病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。-Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for Platform: |
Size: 6144 |
Author:Gaivn Jin |
Hits:
Description: ICCG_BJ法，预测共轭梯度法求解大型线性方程组
A[M][N]*x[N]=b[M]-ICCG_BJ France, BJ forecast conjugate gradient method for solving large linear equations Platform: |
Size: 2048 |
Author:Caesar Y. |
Hits:
Description: ICCG_SSOR法
用于预测共轭梯度法求解大型线性方程组A[M][N]*x[N]=b[M]-ICCG_SSOR method for predicting the conjugate gradient method for solving large linear equations A [M] [N]* x [N] = b [M] Platform: |
Size: 2048 |
Author:Caesar Y. |
Hits:
Description: 压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数-Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function-Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function Platform: |
Size: 1024 |
Author:zhuyuanli |
Hits:
Description: Preconditioned Conjugate Gradient iterative Ax=b solver.Routine to solve a symmetric positive definite linearsystem Ax = b using the Preconditioned Conjugate-Preconditioned Conjugate Gradient iterative Ax=b solver.Routine to solve a symmetric positive definite linearsystem Ax = b using the Preconditioned Conjugate Platform: |
Size: 9216 |
Author:adit |
Hits:
Search - Conjugate gradient M