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ICED 11
Papers

Efficiently Computing with Design Structure Matrices

Efficiently Computing with Design Structure Matrices

Year: 2010

Section: Developments in DSM and MDM Theory

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

Pages: 345-358

Abstract

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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ds endorsed conferenceDSM 2010 - 12th International DSM Conference

Dependency and Structure Modeling (DSM) originates from the methods that have come about from using the Design Structure Matrix and similar methods (matrix-based as well as graph based). These methods have proven very valuable in designing complex systems, optimizing technical systems and product architectures and organizations, densely networked processes and large market structures. With its ability to manage complexity by looking into the structure of a system, it has led to many other advances...

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SIG Workshop - March 2013 - 1