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    2. Details for: Linear and nonlinear programming /
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    Linear and nonlinear programming / David G. Luenberger, Yinyu Ye. [Electronic resource]

    By:
    • Luenberger, David G
    Contributor(s):
    • Ye, Yinyu
    Material type: TextTextSeries: Publication details: Cham : Springer, 2016. Edition: Fourth editionDescription: xiii, 546 pages illustrations. 5.35 MBISBN:
    • 978-3-319-18842-3 (e-ISBN)
    Subject(s):
    • Linear programming
    • Nonlinear programming
    • Operations research
    DDC classification:
    • 519.72
    Online resources:
    • ebook
    Contents:
    Introduction -- Part I Linear Programming -- Basic Properties of Linear Programs -- The Simplex Method -- Duality and Complementarity -- Interior-Point Methods -- Conic Linear Programming -- Part II Unconstrained Problems -- Basic Properties of Solutions and Algorithms -- Basic Descent Methods -- Conjugate Direction Methods -- Quasi-Newton Methods -- Part III Constrained Minimization -- Constrained Minimization Conditions -- Primal Methods -- Penalty and Barrier Methods -- Duality and Dual Methods -- Primal-Dual Methods -- Appendix A: Mathematical Review -- Appendix B: Convex Sets -- Appendix C: Gaussian Elimination -- Appendix D: Basic Network Concepts.
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    • Holdings ( 1 )
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    Item type Current library Call number Status Date due Barcode
    ebook Samtse College of Education Online Resources 519.72 (Browse shelf(Opens below)) Available

    Includes bibliographical references and index.

    Introduction -- Part I Linear Programming -- Basic Properties of Linear Programs -- The Simplex Method -- Duality and Complementarity -- Interior-Point Methods -- Conic Linear Programming -- Part II Unconstrained Problems -- Basic Properties of Solutions and Algorithms -- Basic Descent Methods -- Conjugate Direction Methods -- Quasi-Newton Methods -- Part III Constrained Minimization -- Constrained Minimization Conditions -- Primal Methods -- Penalty and Barrier Methods -- Duality and Dual Methods -- Primal-Dual Methods -- Appendix A: Mathematical Review -- Appendix B: Convex Sets -- Appendix C: Gaussian Elimination -- Appendix D: Basic Network Concepts.

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