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    Mathematical Programming with Data Perturbations

    Mathematical Programming with Data Perturbations

    Forfatter: info mangler
    Bog
    • Format
    • Bog, hardback
    • Engelsk

    Beskrivelse

    Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programming and related problem structures involving parameters. The text features up-to-date findings on important topics, covering such areas as the effect of perturbations on the performance of algorithms, approximation techniques for optimal control problems, and global error bounds for convex inequalities.

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    Detaljer
    • SprogEngelsk
    • Sidetal456
    • Udgivelsesdato02-08-2017
    • ISBN139781138413252
    • Forlag Crc Press
    • FormatHardback
    Størrelse og vægt
  • Vægt453 g
    • coffee cup img
    10 cm
    book img
    17,8 cm
    25,4 cm

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    Banach space Optimal control Normal Cone Emf Perturbation Techniques Mathematical Programming Aubin Property Convex Polynomial Directionally Differentiable Contingent Derivative Data Perturbation Generalized Jacobian Directional derivative Linear Independence Constraint Qualification Linear Knowledge MFCQ Lipschitz Continuous Lower Semicontinuous Open Neighbourhood Order Sufficient Conditions Nonlinear Programming Problem Isolated Local Minimizer Linearly Independent Weak Sharp Minima Local Lipschitz Continuity Lagrange multiplier Polyhedral Convex Set Optimality Sufficient Conditions Strict Local Minimizer
    Machine Name: SAXO080