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Applications of Methods for Nonsmooth Optimization to the Solution of Mathematical Programming Problems

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Minimization Methods for Non-Differentiable Functions

Part of the book series: Springer Series in Computational Mathematics ((SSCM,volume 3))

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Abstract

Decomposition methods are used for solving large-scale linear and convex programming problems in order to save time by reducing the number of references to the external memory of a computer. Such methods convert the solution of the original problem into the solution of a series of problems of lower dimension (blocks). They are particularly efficient if the structure of each block permits the use of special, fast solution methods.

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© 1985 Springer-Verlag Berlin, Heidelberg

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Shor, N.Z. (1985). Applications of Methods for Nonsmooth Optimization to the Solution of Mathematical Programming Problems. In: Minimization Methods for Non-Differentiable Functions. Springer Series in Computational Mathematics, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82118-9_5

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  • DOI: https://doi.org/10.1007/978-3-642-82118-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-82120-2

  • Online ISBN: 978-3-642-82118-9

  • eBook Packages: Springer Book Archive

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