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DSJM : a software toolkit for direct determination of sparse Jacobian matrices

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dc.contributor.advisor Hossain, Shahadat
dc.contributor.author Hasan, Mahmudul
dc.date.accessioned 2012-11-08T18:43:09Z
dc.date.available 2012-11-08T18:43:09Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/10133/3216
dc.description x, 71 leaves : ill. ; 29 cm en_US
dc.description.abstract DSJM is a software toolkit written in portable C++ that enables direct determination of sparse Jacobian matrices whose sparsity pattern is a priori known. Using the seed matrix S 2 Rn×p, the Jacobian A 2 Rm×n can be determined by solving AS = B, where B 2 Rm×p has been obtained via finite difference approximation or forward automatic differentiation. Seed matrix S is defined by the nonzero unknowns in A. DSJM includes well-known as well as new column ordering heuristics. Numerical testing is highly promising both in terms of running time and the number of matrix-vector products needed to determine A. en_US
dc.language.iso en_US en_US
dc.publisher Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2011 en_US
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en_US
dc.subject Sparse matrices en_US
dc.subject Sparse matrices -- Computer programs en_US
dc.subject Jacobians -- Data processing en_US
dc.subject Dissertations, Academic en_US
dc.title DSJM : a software toolkit for direct determination of sparse Jacobian matrices en_US
dc.type Thesis en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Mathematics and Computer Science en_US

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