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Mixed Integer Nonlinear Programming

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Cover of 'Mixed Integer Nonlinear Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Algorithms and Software for Convex Mixed Integer Nonlinear Programs
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    Chapter 2 Subgradient Based Outer Approximation for Mixed Integer Second Order Cone Programming
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    Chapter 3 Perspective Reformulation and Applications
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    Chapter 4 Generalized Disjunctive Programming: A Framework for Formulation and Alternative Algorithms for MINLP Optimization
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    Chapter 5 Disjunctive Cuts for Nonconvex MINLP
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    Chapter 6 Sequential Quadratic Programming Methods
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    Chapter 7 Using Interior-Point Methods within an Outer Approximation Framework for Mixed Integer Nonlinear Programming
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    Chapter 8 Using Expression Graphs in Optimization Algorithms
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    Chapter 9 Symmetry in Mathematical Programming
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    Chapter 10 Using Piecewise Linear Functions for Solving MINLP s
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    Chapter 11 An Algorithmic Framework for MINLP with Separable Non-Convexity
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    Chapter 12 Global Optimization of Mixed-Integer Signomial Programming Problems
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    Chapter 13 The MILP Road to MIQCP
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    Chapter 14 Linear Programming Relaxations of Quadratically Constrained Quadratic Programs
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    Chapter 15 Extending a CIP Framework to Solve MIQCP s
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    Chapter 16 Computation with Polynomial Equations and Inequalities Arising in Combinatorial Optimization
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    Chapter 17 Matrix Relaxations in Combinatorial Optimization
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    Chapter 18 A Polytope for a Product of Real Linear Functions in 0/1 Variables
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    Chapter 19 On the Complexity of Nonlinear Mixed-Integer Optimization
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    Chapter 20 Theory and Applications of n -Fold Integer Programming
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    Chapter 21 MINLP Application for ACH Interiors Restructuring
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    Chapter 22 A Benchmark Library of Mixed-Integer Optimal Control Problems
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Mentioned by

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1 patent

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13 Mendeley
Summary Patents
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Title
Mixed Integer Nonlinear Programming
Published by
Springer New York, December 2011
DOI 10.1007/978-1-4614-1927-3
ISBNs
978-1-4614-1926-6, 978-1-4939-0221-7, 978-1-4614-1927-3
Editors

Lee, Jon, Leyffer, Sven

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Doctoral Student 2 15%
Other 1 8%
Professor 1 8%
Researcher 1 8%
Other 2 15%
Unknown 2 15%
Readers by discipline Count As %
Engineering 5 38%
Computer Science 2 15%
Energy 1 8%
Chemical Engineering 1 8%
Unknown 4 31%

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