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以下是我的共轭梯度法的C语言程序,迭代次数超多,矩阵的条件数并不大可以用共轭梯度法解。-Following is the conjugate gradient method in C language program, the number of iterations Chao, Matrix condition number is not large can conjugate gradient method solutions.
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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) between the steepest descent between law and Newton'
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共轭梯度法可以实现正定线性方程组的求解,并可以通过实例进行验证-Conjugate gradient method can achieve positive definite linear equations, and can be verified by an example
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本代码为《最优化理论与方法》书籍中的共轭梯度法算法的代码,并举了两个书上的作业题的例子,本代码中的目标函数和约束等初值可由需要进行改变,来得到所期望的计算-The code for the " optimization theory and method" books conjugate gradient method algorithm code, citing two books on the example of the job title, the code in th
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共轭梯度法,MATLAB程序,计算方法作业,内有说明-Conjugate gradient method, MATLAB procedures, calculation methods work, there are instructions
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最优化问题中的最速下降法,共轭梯度法,黄金分割法代码,为applied optimization with matlab programming书中源代码-Steepest descent method, conjugate gradient method, golden section method code
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Conjugate Gradient method implemented by matlab
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最优化算法程序,包含费线性最小二乘、共轭梯度法、牛顿法-Linear least squares optimization algorithm procedures, including fees, conjugate gradient method, Newton method and so on
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完整的二维非线性共轭梯度反演源代码,作者是Mackie 和Rodi。-Complete two-dimensional nonlinear conjugate gradient inversion source code, the author is Mackie and Rodi.
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