Abstract
In this paper we present parallel implementations of 2 classical optimization methods, namely the Quasi-Newton method for non-linear minimization and the Marquardt method for non-linear least squares problems. Both methods are iterative, and we discuss which parts of the computations in an iteration step are suited for parallel computations. We discuss the choice of configuration of the transputer network and present results of test runs of the implementations.
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References
SGS-Thomson: occam 2.1 Toolset, SGS-Thomson (1995)
Tingleff, O.: Communication Harnesses for Transputer systems with Tree Structure and Cube Structure. In: Applied Parallel Computing, Dongara, J., Madsen, K. and Wasniewsky, J. (eds.), Springer 1996.
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© 1996 Springer-Verlag Berlin Heidelberg
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Tingleff, O. (1996). Parallel implementations of classical optimization methods. In: Waśniewski, J., Dongarra, J., Madsen, K., Olesen, D. (eds) Applied Parallel Computing Industrial Computation and Optimization. PARA 1996. Lecture Notes in Computer Science, vol 1184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62095-8_72
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DOI: https://doi.org/10.1007/3-540-62095-8_72
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Online ISBN: 978-3-540-49643-4
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