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Code 1-6 of 6   

MYRANDPERM(A) returns matrix A with elements randomly permuted. This function uses RANDPERM.

This is a dedicated mex-file for use with UMFPACK to efficiently complete the permuted forward/back substitution to solve linear systems, A*x = b when A is sparse and b is a dense vector.

UMFPACK is used when the MATLAB function...

This is the package for online (competitive)/batch prediction using generalized linear models under square loss. The algorithms are derived using the Aggregating Algorithm.

The algorithms have guarantees on the cumulative square loss...

This test was described in Mantel (1967) and Hubert/Schultz (1976), see links below. It's a non-parametric, permutation-based test that preserves the integrity of the structures and the mutual dependence of the observations.


X = PARTPERM(A,IDX) randomly permutes the elements of vector A which are specified by vector IDX. That is, the elements A(IDX) are randomly interchanged with one another and the resulting (partially permuted) vector is returned. No permutation...

The class ndSparse defined in this submission will give a lot of the functionality of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and...