solving nonlinear equations in a way : by using a method of optimizing initial G...
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算法
资 源 简 介
解非线性方程组的一种方法:先用一种优化方法将给定初值(它有可能会使得后续的牛顿法发散)通过一条比较快的途径收敛到精确解附近,得到一个新的初始点,然后再通过牛顿法将新的初始点迭代到精确解(一定的误差范围内)。这种方法的优点在于:它可以将牛顿法快速收敛的优势发挥出来,同时又避免了该方法收敛域比较窄的缺点。-solving nonlinear equations in a way : by using a method of optimizing initial Givens (it might make follow-up to Newton"s law divergence) adopted a relatively fast convergence to the channel near the exact solution, to be a new starting point, and then Newton"s law of the new iteration of the initial point of the exact solution ( some of error). This method has the advantage : it can be rapid convergence of Newton"s method to exploit the advantages while avoiding convergence of the method is relatively narrow domain shortcomings.
文 件 列 表
NewtonNL.cpp
NewtonNL.h
文档 1.pdf