CMPSC 219
Sparse Matrix Algorithms
University of California Santa Barbara · UGRD · Fall 2026
1 section
Catalog description
Theory, implementation, and applications of sparse matrix algorithms. Direct, iterative, preconditioned, and multilevel methods for solving large, sparse systems of linear equations. Tools include graph theory, linear algebra, and computer architecture; applications range from physical modeling to data mining.
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001
Availability not recently verifiedClass #california_santa_barbara-1729Fall 2026UGRD
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