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Conjugate-Gradient-Method
- 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'
CH6
- FORTRAN编程，求解非线性方程组，如牛顿迭代法，DFP方法等-FORTRAN programming, solving nonlinear equations, such as Newton iteration, DFP methods
mnewton
- 用LU分解法解线性方程组Ax=b。用牛顿法求非线性方程f(x)=0-With the LU decomposition method of solving linear equations Ax = b. Using Newton s method for nonlinear equation f (x) = 0
function
- 非线性方程组的牛顿迭代法MATLAB程序-Nonlinear equations of Newton iterative method MATLAB program
newton
- 简化牛顿法求解非线性方程组，程序内附注释-Simplified Newton method forSolving Nonlinear equations, the program containing the comment