Abstract
The topic of Chapters 2 through 6 is concurrent linear algebra. This expanded coverage is motivated by two factors. First, linear algebra is a frequently used component of scientific computing. Computational problems recast in terms of linear algebra can often be considered solved, because standard libraries can tackle the remaining issues. Second, linear algebra is a rich source for numerical algorithms that are realistic in algorithmic complexity, but can be understood without an extensive mathematical background.
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© 1994 Springer Science+Business Media New York
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Van de Velde, E.F. (1994). Vector and Matrix Operations. In: Concurrent Scientific Computing. Texts in Applied Mathematics, vol 16. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0849-5_2
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DOI: https://doi.org/10.1007/978-1-4612-0849-5_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6921-2
Online ISBN: 978-1-4612-0849-5
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