
doi: 10.2172/10131173
Progress was made in creating algorithms and software for large-scale sparse matrix computations on advanced distributed-memory parallel machines during the past year. This report is divided into: large-scale linear systems; highly parallel triangular solution; spectral nested dissection orderings; parallel multifrontal factorization; structure of orthogonal factors; and sparse bases for the range space and the null space.
Distributed Data Processing, Computer Calculations, Mathematics And Computers, Matrices, Progress Report, 000, Parallel Processing, And Information Science, Computing, Array Processors 990200, 99 General And Miscellaneous//Mathematics, Algorithms, 004
Distributed Data Processing, Computer Calculations, Mathematics And Computers, Matrices, Progress Report, 000, Parallel Processing, And Information Science, Computing, Array Processors 990200, 99 General And Miscellaneous//Mathematics, Algorithms, 004
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