A sparse matrix contains a high percentage of zero’s, (as compared to dense matrices) and to obtain high end performance, special data structures are needed as well as logic to avoid meaningless ...

Likewise, diffraction data collection at synchrotron beamlines is highly automated and makes use of robotics; and in favorable cases, determination of X-ray structures can be performed in an ...

This newly developed data processing utilizes computing and communications technologies that leverage “sparse matrix” data structures in order to significantly accelerate the performance of vector ...

The sparse format to PROC LP is designed to enable you to specify only the nonzero coefficients in the description of linear programs, integer programs, and mixed-integer programs. The SAS data set ...

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the ... outlined in this book is their inherent parallel ...