Suchergebnisse - "Subgradient projection algorithm"

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  1. 1

    Implementation of a subgradient projection algorithm II von Owens, Robert W.

    ISSN: 0020-7160, 1029-0265
    Veröffentlicht: Gordon and Breach Science Publishers 01.01.1984
    Veröffentlicht in International journal of computer mathematics (01.01.1984)
    “… This paper discusses the implementation of a subgradient projection algorithm due to Sreedharan [13 …”
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    Journal Article
  2. 2

    Implementation of a subgradient projection algorithm von Rubin, Paul A.

    ISSN: 0020-7160, 1029-0265
    Veröffentlicht: Gordon and Breach Science Publishers 01.01.1983
    Veröffentlicht in International journal of computer mathematics (01.01.1983)
    “… This paper discusses the implementation of an algorithm due to Sreedharan [8] for the minimization, subject to linear constraints, of an objective function …”
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    Journal Article
  3. 3

    Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization von Sundhar Ram, S., Nedić, A., Veeravalli, V. V.

    ISSN: 0022-3239, 1573-2878
    Veröffentlicht: Boston Springer US 01.12.2010
    Veröffentlicht in Journal of optimization theory and applications (01.12.2010)
    “… We consider a distributed multi-agent network system where the goal is to minimize a sum of convex objective functions of the agents subject to a common convex constraint set …”
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    Journal Article
  4. 4

    Subgradient projection algorithms for constrained nonsmooth optimization II: nonlinear constraints von Ye, X.

    ISSN: 0233-1934, 1029-4945
    Veröffentlicht: Gordon and Breach Science Publishers 01.01.1992
    Veröffentlicht in Optimization (01.01.1992)
    “… In this paper, a kind of subgradient projection algorithms is established for minimizing a locally Lipschitz continuous function subject to nonlinearly smooth constraints, which is based on the idea …”
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  5. 5

    Distributed multi-agent optimization subject to nonidentical constraints and communication delays von Lin, Peng, Ren, Wei, Song, Yongduan

    ISSN: 0005-1098, 1873-2836
    Veröffentlicht: Elsevier Ltd 01.03.2016
    Veröffentlicht in Automatica (Oxford) (01.03.2016)
    “… In this paper, we study a distributed optimization problem using a subgradient projection algorithm for multi-agent systems subject to nonidentical constraints and communication delays under local communication …”
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    Journal Article
  6. 6

    Distributed Stochastic Subgradient Projection Algorithms forConvex Optimization von SundharRam, S, Nedic, A, Veeravalli, V V

    ISSN: 0022-3239, 1573-2878
    Veröffentlicht: 01.12.2010
    Veröffentlicht in Journal of optimization theory and applications (01.12.2010)
    “… We consider a distributed multi-agent network system where the goal is to minimize a sum of convex objective functions of the agents subject to a common convex constraint set …”
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    Journal Article
  7. 7

    Max-Min SINR Coordinated Multipoint Downlink Transmission-Duality and Algorithms von Cai, D. W. H., Quek, T. Q. S., Chee Wei Tan, Low, S. H.

    ISSN: 1053-587X, 1941-0476
    Veröffentlicht: New York, NY IEEE 01.10.2012
    Veröffentlicht in IEEE transactions on signal processing (01.10.2012)
    “… ) problem subject to multiple weighted-sum power constraints, where the weights can represent relative power costs of serving different users …”
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    Journal Article
  8. 8

    Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization von Ram, S Sundhar, Nedich, A, Veeravalli, V V

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 16.11.2008
    Veröffentlicht in arXiv.org (16.11.2008)
    “… We consider a distributed multi-agent network system where the goal is to minimize a sum of convex objective functions of the agents subject to a common convex constraint set …”
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  9. 9

    Efficient controls for finitely convergent sequential algorithms and their applications von Chen, Wei

    ISBN: 9781124062969, 1124062963
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2010
    “… Finding a feasible point that satisfies a set of constraints or a point that optimizes a function subject to a set of constraints is a common task in scientific computing …”
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    Dissertation
  10. 10

    Investigations of Iterative Algorithms for Solving Quasiconvex Feasibility Problems von Segal, Alexander, סגל, אלכסנדר

    ISBN: 9798480677676
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2004
    “… Also, a simultaneous subgradient projection algorithm for solving the convex feasibility problem which enables …”
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    Dissertation