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

Title:
DSJM : a software toolkit for direct determination of sparse Jacobian matrices
Authors:
Contributors:
Hossain, Shahadat
Publisher Information:
University of Lethbridge, Dept. of Mathematics and Computer Science, c2011
Department of Mathematics and Computer Science
Arts and Science
Publication Year:
2011
Collection:
University of Lethbridge Institutional Repository
Document Type:
Dissertation thesis
File Description:
application/pdf
Language:
English
Relation:
Thesis (University of Lethbridge. Faculty of Arts and Science); https://hdl.handle.net/10133/3216
Accession Number:
edsbas.77450C5B
Database:
BASE

Weitere Informationen

x, 71 leaves : ill. ; 29 cm ; 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.