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DSJM: A Software Toolkit for Direct Determination of Sparse Jacobian Matrices

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9725)

Abstract

We describe the main design features of DSJM (Determine Sparse Jacobian Matrices), a software toolkit written in standard C++ that enables direct determination of sparse Jacobian matrices. Our design exploits the recently proposed unifying framework “pattern graph” and employs cache-friendly array-based sparse data structures. The DSJM implements a greedy grouping (coloring) algorithm and several ordering heuristics. In our numerical testing on a suite of large-scale test instances DSJM consistently produced better timing and partitions compared with a similar software.

Keywords

Sparse Jacobian matrix Compression-reconstruction Direct determination 

Notes

Acknowledgements

This research was supported in part by Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant (Individual).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.University of LethbridgeLethbridgeCanada

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