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n = norm(X,2)
n = norm(X)
n = norm(X,1)
n = norm(X,Inf)
n = norm(X,'fro')
n = norm(v,p)
n = norm(v,Inf)
n = norm(v,-Inf)
The norm function calculates several different types of matrix and vector norms. If the input is a vector or a matrix:
n = norm(X,2) returns the 2-norm of X.
n = norm(X) is the same as n = norm(X,2).
n = norm(X,1) returns the 1-norm of X.
n = norm(X,Inf) returns the infinity norm of X.
n = norm(X,'fro') returns the Frobenius norm of X.
In addition, when the input is a vector v:
n = norm(v,p) returns the p-norm of v. The p-norm is sum(abs(v).^p)^(1/p).
n = norm(v,Inf) returns the largest element of abs(v).
n = norm(v,-Inf) returns the smallest element of abs(v).
By convention, norm returns NaN if the input matrix X or input vector v contains NaN values.
cond | condest | hypot | normest | rcond
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