Theory of Linear and Integer Programming

Theory of Linear and Integer Programming Alexander Schrijver Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands This book describes the theory of linear and integer programming and surveys the algorithms for linear and integer programming problems, focusing on complexity analysis. It aims at complementing the more practically oriented books in this field. A special feature is the author′s coverage of important recent developments in linear and integer programming. Applications to combinatorial optimization are given, and the author also includes extensive historical surveys and bibliographies. The book is intended for graduate students and researchers in operations research, mathematics and computer science. It will also be of interest to mathematical historians. Contents 1 Introduction and preliminaries; 2 Problems, algorithms, and complexity; 3 Linear algebra and complexity; 4 Theory of lattices and linear diophantine equations; 5 Algorithms for linear diophantine equations; 6 Diophantine approximation and basis reduction; 7 Fundamental concepts and results on polyhedra, linear inequalities, and linear programming; 8 The structure of polyhedra; 9 Polarity, and blocking and anti–blocking polyhedra; 10 Sizes and the theoretical complexity of linear inequalities and linear programming; 11 The simplex method; 12 Primal–dual, elimination, and relaxation methods; 13 Khachiyan′s method for linear programming; 14 The ellipsoid method for polyhedra more generally; 15 Further polynomiality results in linear programming; 16 Introduction to integer linear programming; 17 Estimates in integer linear programming; 18 The complexity of integer linear programming; 19 Totally unimodular matrices: fundamental properties and examples; 20 Recognizing total unimodularity; 21 Further theory related to total unimodularity; 22 Integral polyhedra and total dual integrality; 23 Cutting planes; 24 Further methods in integer linear programming; Historica l and further notes on integer linear programming; References; Notation index; Author index; Subject index

Spis treści:
Introduction and Preliminaries.
Problems, Algorithms, and Complexity.
LINEAR ALGEBRA.
Linear Algebra and Complexity.
LATTICES AND LINEAR DIOPHANTINE EQUATIONS.
Theory of Lattices and Linear Diophantine Equations.
Algorithms for Linear Diophantine Equations.
Diophantine Approximation and Basis Reduction.
POLYHEDRA, LINEAR INEQUALITIES, AND LINEAR PROGRAMMING.
Fundamental Concepts and Results on Polyhedra, Linear Inequalities, and Linear Programming.
The Structure of Polyhedra.
Polarity, and Blocking and Anti–Blocking Polyhedra.
Sizes and the Theoretical Complexity of Linear Inequalities and Linear Programming.
The Simplex Method.
Primal–Dual, Elimination, and Relaxation Methods.
Khachiyan′s Method for Linear Programming.
The Ellipsoid Method for Polyhedra More Generally.
Further Polynomiality Results in Linear Programming.
INTEGER LINEAR PROGRAMMING.
Introduction to Integer Linear Programming.
Estimates in Integer Linear Programming.
The Complexity of Integer Linear Programming.
Totally Unimodular Matrices: Fundamental Properties and Examples.
Recognizing Total Unimodularity.
Further Theory Related to Total Unimodularity.
Integral Polyhedra and Total Dual Integrality.
Cutting Planes.
Further Methods in Integer Linear Programming.
References.
Indexes.

Nota biograficzna:
Professor Schrijver has held tenured positions with the Mathematisch Centrum in Amsterdam, and the University of Amsterdam. He has spent leaves of absence in Oxford and Szeged (Hungary). In 1983 he was appointed to the post of Professor of Mathematics at Tilburg University, The Netherlands, with a partial engagement at the Centrum voor Wiskunde en Informatica in Amsterdam.

Okładka tylna:
Theory of Linear and Integer Prog ramming Alexander Schrijver Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands This book describes the theory of linear and integer programming and surveys the algorithms for linear and integer programming problems, focusing on complexity analysis. It aims at complementing the more practically oriented books in this field. A special feature is the author′s coverage of important recent developments in linear and integer programming. Applications to combinatorial optimization are given, and the author also includes extensive historical surveys and bibliographies. The book is intended for graduate students and researchers in operations research, mathematics and computer science. It will also be of interest to mathematical historians. Contents 1 Introduction and preliminaries; 2 Problems, algorithms, and complexity; 3 Linear algebra and complexity; 4 Theory of lattices and linear diophantine equations; 5 Algorithms for linear diophantine equations; 6 Diophantine approximation and basis reduction; 7 Fundamental concepts and results on polyhedra, linear inequalities, and linear programming; 8 The structure of polyhedra; 9 Polarity, and blocking and anti–blocking polyhedra; 10 Sizes and the theoretical complexity of linear inequalities and linear programming; 11 The simplex method; 12 Primal–dual, elimination, and relaxation methods; 13 Khachiyan′s method for linear programming; 14 The ellipsoid method for polyhedra more generally; 15 Further polynomiality results in linear programming; 16 Introduction to integer linear programming; 17 Estimates in integer linear programming; 18 The complexity of integer linear programming; 19 Totally unimodular matrices: fundamental properties and examples; 20 Recognizing total unimodularity; 21 Further theory related to total unimodularity; 22 Integral polyhedra and total dual integrality; 23 Cutting planes; 24 Further methods in integer linear programming; Historical and further notes on integer li near programming; References; Notation index; Author index; Subject index