For an examined benchmark problem, the two algorithms yielded massive savings in floating point operations relative to direct computation of the same quantities. Sample computer codes are provided for ...

A Moore-Penrose-inverse-matrix-based compression method is proposed in order to compress data easily and simply. We use a non-square matrix with more columns than rows to compress data in matrix.

Thereby, we provide an introduction to PSL design, illustrated by the example of m atrix m etallo p roteinase 13 (MMP13). This introduction can serve as a guide and help to greatly accelerate the ...

We suggest a method for estimating a covariance matrix on the basis of a sample of vectors drawn from a multivariate normal distribution. In particular, we penalize the likelihood with a lasso penalty ...