%NORM   Vector and matrix norms.
%   N = NORM(V) returns the 2-norm or Euclidean norm of the vector V and is
%   the same as NORM(V,2).
%
%   N = NORM(V,p) returns the generalized vector p-norm.
%   * If p is a positive real scalar, the p-norm is defined as
%     SUM(ABS(V).^p)^(1/p).
%   * If p = Inf, then N is the largest element of ABS(V).
%   * If p = -Inf, then N is the smallest element of ABS(V).
%
%   N = NORM(M) returns the 2-norm of the matrix M, which is same as
%   NORM(M,2), and is defined by the largest singular value.
%
%   N = NORM(M,p) returns the p-norm of the matrix M, where p is 1, 2, or
%   Inf.
%   * If p = 1, then N is the maximum absolute column sum in M.
%   * If p = 2, then N is the maximum singular value of M.
%   * If p = Inf, then N is the maximum absolute row sum of M.
%
%   N = NORM(X,"fro") returns the Frobenius norm of any numeric array X.
%   Notice that the Frobenius norm for vectors is equivalent to the 2-norm.
%   For N-D arrays, only the Frobenius norm is supported via NORM.
%
%   By convention, NaN is returned if the first input contains NaNs.
%
%   See also vecnorm, pagenorm, normest, normalize, cond, hypot.

%   Copyright 1984-2021 The MathWorks, Inc.
%   Built-in function.
