Efficiently Computing with Design Structure Matrices

DSM 2010: Proceedings of the 12th International DSM Conference, Cambridge, UK, 22.-23.07.2010

Year: 2010
Editor: Wynn, D.C.; Kreimeyer, M.; Eben, K.; Maurer, M.; Lindemann, U.; Clarkson, P.J.
Author: Hossain, S.
Section: Developments in DSM and MDM Theory
Page(s): 345-358


TLAB – an integrated development environment for technical computing. It is to be noted that MATLAB, however, does implement sparse matrix operations using a column-oriented sparse storage of the matrix. Our objective here is to use a general-purpose high-level programming language (e.g., C++) for the implementation of computationally intensive DSM algorithms for large-scale problems, thus ensuring maximum portability and extensibility.

Keywords: Sparse Data Structure, Block Triangular Form, Strongly Connected Component, Depth-first Search


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