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A Reduced Subgradient Algorithm for Network Flow Problems with Convex Nondifferentiable Costs

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Nondifferentiable Optimization: Motivations and Applications

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 255))

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Abstract

Consider a single-commodity directed network with m nodes and n arcs.

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References

  • Bihain, A., Nguyen, V.H., and Strodiot, J.J. (1984). A reduced subgradient algorithm. Internal report 84/3. Department of Mathematics. Facultés Universitaires N.-D. de la Paix, Namur, Belgium.

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  • Dembo, R.S., and Klincewicz, J.G. (1981). A scaled reduced gradient algorithm for network flow problems with convex separable costs. Mathematical Programming Study, 15: 125–147.

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  • Hanscom, M., Lafond, L., Lasdon, L., and Pronovost, G. (1980). Modeling and resolution of the medium term energy generation planning problem for a large hydro-electric system. Management Science, 26: 659–668.

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  • Kennington, J., and Helgason, R. (1980). Algorithms for network programming. Wiley, New York.

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© 1985 Springer-Verlag Berlin Heidelberg

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Hanscom, M.A., Nguyen, V.H., Strodiot, J.J. (1985). A Reduced Subgradient Algorithm for Network Flow Problems with Convex Nondifferentiable Costs. In: Demyanov, V.F., Pallaschke, D. (eds) Nondifferentiable Optimization: Motivations and Applications. Lecture Notes in Economics and Mathematical Systems, vol 255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-12603-5_30

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  • DOI: https://doi.org/10.1007/978-3-662-12603-5_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-15979-7

  • Online ISBN: 978-3-662-12603-5

  • eBook Packages: Springer Book Archive

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