Description: 用C++编的一些最优化作业中的程序,有Newton法,DFP法,共轭梯度法,单纯形法,内点法,外点法,内外点法,都能使用,我已经全部调试过了-C compile some of the most optimized operating procedures, Newton, DFP, conjugate gradient method, the simplex method, interior point method, the points outside the law, outside point method can use, I have all over Debugging Platform: |
Size: 12288 |
Author:tw |
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Description: 实现共轭梯度法的实例，该算法是一种优化算法，其具体优越性相信用者自知！-achieve conjugate gradient method example, the algorithm is an optimization algorithm, the specific advantages of knowing who to believe! Platform: |
Size: 364544 |
Author:鲤鱼 |
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Description: 本人自编的共轭梯度法。为c源码，已在TC下运行通过。-I directed the conjugate gradient method. C source code for, the TC has run through. Platform: |
Size: 2048 |
Author:陈建春 |
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Description: 这是一个实现最优化计算的程序，采用的算法为共轭梯度法。-This is a realization of optimal calculation procedure, the algorithm used to conjugate gradient method. Platform: |
Size: 2048 |
Author:宋亚平 |
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Description: This OpenNL, a library to easily construct and solve sparse linear systems.
* OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradient,BICGSTAB, GMRes) and preconditioners (Jacobi, SSOR).
* OpenNL can also use other solvers (SuperLU 3.0 is supported as an OpenNL extension,MUMPS will be supported in a future version)-This is OpenNL. a library to easily construct and solve sparse l inear systems.* OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradie nt, Application of BICGSTAB. GMRes) and preconditioners (Jacobi, SSOR).* OpenNL can also use other solvers (Super rLU 3.0 is supported as an OpenNL extension, MUMPS will be supported in a future version) Platform: |
Size: 84992 |
Author:Wayne |
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Description: 本人自编的共轭梯度法。为c源码，已在TC下运行通过-I wrote the conjugate gradient method. C-source has been running through TC Platform: |
Size: 197632 |
Author:mvcneo |
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Description: ％ SSOR预处理的共轭梯度法求解方程Ax=b
％ 输入参数说明
％ A 正定矩阵[n*n]
％ b 右边向量
％ omega SSOR预处理参数(0--2)
％ Times 迭代次数
％ errtol 给定误差终止条件
％
％输出参数
％ NewX 方程Ax=b的x近似解
％ avgerr 求解的当前平均绝对误差- SSOR preconditioning conjugate gradient method for solving equations Ax = b the input parameter descriptions A positive definite matrix [n* n] b right side vector omega SSOR preconditioning parameters (0- 2) Times iterations errtol termination of a given error condition NewX output parameter equation Ax = b of x approximate solution to solve the current avgerr average absolute error Platform: |
Size: 1024 |
Author:zhxj |
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Description: 共轭梯度法，本算法是经过验证了的共轭梯度法，读者在运用到其他方面时需要修改一定的参数-Conjugate gradient method, this algorithm is verified of the conjugate gradient method, readers in the use of other aspects need to modify certain parameters Platform: |
Size: 2048 |
Author:张大莲 |
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Description: 用c语言写的共轭梯度法程序，程序较为简单，不过运算速度快，准确率高-C language by the conjugate gradient method procedures, the procedures are more straightforward, but computing speed, high accuracy Platform: |
Size: 2048 |
Author:wding |
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Description: 共轭梯度算法C程序,本程序适用于n设计变量的函数优化问题，对于不同的设计变量个数可以改变维数,该算法程序只在主函数中与其他无约束程序有差别，其他部分基本一样。-Conjugate gradient algorithm C procedures, the procedures for n design variables of the function optimization problem, the number of different design variables can change the dimension, the algorithm is only in the main function and other non-binding procedures are different from other parts of the basic the same. Platform: |
Size: 2048 |
Author:AresOne |
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Description: 使用共轭梯度法解超定方程组的程序，使用fortran语言。本程序亦可用于解适定方程组。-Conjugate gradient method for solving overdetermined equations, the use of fortran language. This procedure can also be posed for the solution equations. Platform: |
Size: 12288 |
Author:智庆全 |
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Description: 通过使用matlab求解共轭梯度法和牛顿法。熟悉经典优化方法。(Solve the conjugate gradient method and the Newton method by using matlab. Familiar with the classic optimization method.) Platform: |
Size: 1024 |
Author:亮看世界
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Description: 基于Armijo-Goldstein准则的用matlab实现的共轭梯度优化方法，个人编写，适合优化方法入门练习。(Based on the Armijo-Goldstein criterion, the conjugate gradient optimization method implemented by Matlab is written by individual, suitable for the introduction of the optimization method) Platform: |
Size: 1024 |
Author:Victor_Z |
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Search - Conjugate Gradient