matlab 梯度法（最速下降法）

norm(A,p)
当A是向量时
norm(A,p) Returns sum(abs(A).^zhip)^(/p), for any <= p <= ∞.
norm(A) Returns norm(A,)
norm(A,inf) Returns max(abs(A)).
norm(A,-inf) Returns min(abs(A)).
当A是矩阵时
n = norm(A) returns the largest singular value of A, max(svd(A))
n = norm(A,) The -norm, or largest column sum of A, max(sum(abs(A)).
n = norm(A,) The largest singular value (same as norm(A)).
n = norm(A,inf) The infinity norm, or largest row sum of A, max(sum(abs(A')))
n = norm(A,'fro') The Frobenius-norm of matrix A, sqrt(sum(diag(A'*A))).

A'*A的n个非负特征值的平du方根叫作矩阵A的奇异值

解 （i)∇f (x) =(2x() ,50x() )T
编写 M 文件detaf.m，定义函数 f (x)及其梯度列向量如下
function [f,df]=detaf(x);
f=x()^+*x()^;
df=[*x()
*x()];
（ii）编写主程序文件zuisu.m如下：
clc
x=[;];
[f0,g]=detaf(x);
while norm(g)>0.000001
p=-g/norm(g);
t=1.0;f=detaf(x+t*p);
while f>f0
t=t/;
f=detaf(x+t*p);
end
x=x+t*p;
[f0,g]=detaf(x);
end
x,f0