Mixed Integer Nonlinear Programming

Häftad, Engelska, 2014

Del 154 i serien IMA Volumes in Mathematics and its Applications

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Beskrivning

Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions.

Produktinformation

Utgivningsdatum:2014-03-03
Mått:155 x 235 x 38 mm
Vikt:1 060 g
Format:Häftad
Språk:Engelska
Serie:IMA Volumes in Mathematics and its Applications
Antal sidor:692
Upplaga:2012
Förlag:Springer-Verlag New York Inc.
ISBN:9781493902217

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Innehållsförteckning

Foreword.- Preface.-Algorithms and software for convex mixed integer nonlinearprograms.- Subgradient based outer approximation for mixed integer secondorder cone programming.-Perspective reformulation and applications.- Generalized disjunctive programming: A framework for formulation and alternative algorithms for MINLP optimization.-Disjunctive cuts for nonconvex MINLP.- Sequential quadratic programming methods.- Using interior-point methods within an outer approximation framework for mixed integer nonlinear programming.- Using expression graphs in optimization algorithms.- Symmetry in mathematical programming.- Using piecewise linear functions for solving MINLPs.- An algorithmic framework for MINLP with separable non-convexity.- Global optimization of mixed-integer signomial programming problems.-The MILP road to MIQCP.- Linear programming relaxations of quadratically constrained quadratic programs.- Extending a CIP framework to solve MIQCPs.- Computation with polynomial equations and inequalities arisingin combinatorial optimization.- Matrix relaxations in combinatorial optimization.- A polytope for a product of real linear functions in 0/1 variables.- On the complexity of nonlinear mixed-integer optimization.- Theory and applications of n-fold integer programming.- MINLP Application for ACH interiors restructuring.- A benchmark library of mixed-integer optimal control problems.