Matlab norm 用法小记
matlab norm (a) 用法以及实例
norm(A,p)
当A是向量时
norm(A,p) Returns sum(abs(A).^p)^(1/p), for any 1 <= p <= ∞.
norm(A) Returns norm(A,2)
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,1) The 1-norm, or largest column sum of A, max(sum(abs(A)).
n = norm(A,2) 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))).
Syntax
Description
The norm of a matrix is a scalar that gives some measure of the magnitude of the elements of the matrix. The norm
function calculates several different types of matrix norms:
n = norm(A)
returns the largest singular value of A
, max(svd(A))
.
n = norm(A,p)
returns a different kind of norm, depending on the value of p.
norm(A,p) |
Returns sum(abs(A).^p)^(1/p) , for any 1 <= p <= . |
norm(A) |
Returns norm(A,2) . |
norm(A,inf) |
Returns max(abs(A)) . |
norm(A,-inf) |
Returns min(abs(A)) . |
Remarks
Note that norm(x)
is the Euclidean length of a vector x
. On the other hand, MATLAB uses "length" to denote the number of elements n
in a vector. This example uses norm(x)/sqrt(n)
to obtain the root-mean-square (RMS) value of an n
-element vector x
.