Abstract
The impact of parallel and distributed computers on the practice of scientific computations has been significant. Mathematical programming within operations research was among the first areas in applied mathematics where the potential of parallel numerical computing was recognized, and is a field on which the advent of parallel computing has had a deep influence. As the number, size and complexity of computational problems continue to grow, we can expect a continuing development of faster computers, new computer architectures, and designated chips for the most important applications; in order to take full advantage of this development, the area of parallel algorithm design will however need to mature with at least the same rate.
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© 1999 Springer Science+Business Media Dordrecht
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Patriksson, M. (1999). Parallel and sequential decomposition CA algorithms. In: Nonlinear Programming and Variational Inequality Problems. Applied Optimization, vol 23. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2991-7_8
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DOI: https://doi.org/10.1007/978-1-4757-2991-7_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4806-9
Online ISBN: 978-1-4757-2991-7
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