Mixed Integer Nonlinear Programming (Record no. 101162)

000 -LEADER
fixed length control field 03964nam a22004695i 4500
001 - CONTROL NUMBER
control field 978-1-4614-1927-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083244.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111201s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461419273
-- 978-1-4614-1927-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4614-1927-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA401-425
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBKJ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT034000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.4
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lee, Jon.
Relator term editor.
245 10 - TITLE STATEMENT
Title Mixed Integer Nonlinear Programming
Medium [electronic resource] /
Statement of responsibility, etc edited by Jon Lee, Sven Leyffer.
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent XVII, 690p. 82 illus.
Other physical details online resource.
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-- computer
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-- rdamedia
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-- online resource
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490 1# - SERIES STATEMENT
Series statement The IMA Volumes in Mathematics and its Applications,
International Standard Serial Number 0940-6573 ;
Volume number/sequential designation 154
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners — including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers — are interested in solving large-scale MINLP instances.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Approximations and Expansions.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Continuous Optimization.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Leyffer, Sven.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461419266
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title The IMA Volumes in Mathematics and its Applications,
-- 0940-6573 ;
Volume number/sequential designation 154
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-1927-3
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