我正在使用最速下降法来找出具有5x5希尔伯特矩阵的线性系统的解.我相信代码很好,因为它给了我正确的答案.
我的问题是:
我认为这需要太多的迭代才能得到正确的答案.我相信我可能错过了算法中的一些东西,但我不知道此时是什么.
我不确定这是否是实现算法的最有效方法,另外,选择"tol"有点令人困惑.
任何有关这些的见解将不胜感激(尤其是1.).谢谢!
% Method of Steepest Descent with tol 10^-6
h = hilb(5); %Hilbert 5x5 matrix
b = [1;1;1;1;1]; %solution matrix
solution = zeros(d,1); %Initialization
residual = h*solution - b;
tol = 10^(-6)
count = 0;
while residual'*residual > tol;
roe = (residual'*residual)/(residual'*h*residual);
solution = solution - roe*residual;
residual = h*solution - b;
count = count + 1;
end
count
solution
%Method of Steepest Descent with tol 10^-12
solution = zeros(d,1);
residual = h*solution - …Run Code Online (Sandbox Code Playgroud) optimization matlab mathematical-optimization numerical-methods gradient-descent