LNSD Last non-singleton dimension of an array. LNSD(X) returns the number of the last non-singleton dimension of X. This provides a useful definition of the dimensionality of X. Unlike Matlab's NDIMS, which thinks that a column vector and a scalar both have dimension 2, LNSD defines the dimension of a scalar to be zero and that of a column vector to be one, while a row vector has an LNSD of 2. Note that LNSD(X) changes if X is permuted. [N1,N2,...NM]=LNSD(X1,X2,...XM) returns the dimensions of multiple input arguments. If zero or one output arguments are given, a single row array [N1 N2 ...NM] is output. _________________________________________________________________ This is part of JLAB --- type 'help jlab' for more information (C) 2002--2015 J.M. Lilly --- type 'help jlab_license' for details