Books

Author(s) Book
W.W. Hager,
D.W. Hearn,
P.M. Pardalos, (Eds.)
Center for Applied Optimization,
University of Florida Large-Scale Optimization. State of the Art
Kluwer Academic Publishers, Dordrecht, pp.xiv+456, 1994
ISBN 0-7923-2798-5
Magnus Hestens
Department of Mathematics,
University of California,
Los Angeles, Calif 90024. Conjugate Direction Methods in Optimization
Springer Verlag, New York, Heidelberg, Berlin, pp.x+325, 1980
ISBN 0-387-90455-7 Springer Verlag, New York
Contents 1. Newton's method and the Gradient method
2. Conjugate direction methods
3. Conjugate Gram-Schmidt process
4. Conjugate gradient algorithms
References
Index
Pascal Van Hentenryck
Department of Computer Science and Engineering,
University of Louvain, Belgium
with contributions by:
Irvin Lustig, Laurent Michel, and Jean-François Puget The OPL Optimization Programming Language
MIT Press Books,January 1999, 255 pp., 51 illus.
$30.00 (paper)
ISBN 0-262-72030-2
Contents Preface
1. Introduction
1.1 Background
1.2 OPL
1.3 Contents
1.4 Model Conventions and Disclaimers
I THE LANGUAGE
2. A Short Tour of OPL
2.1 Linear and Integer Programming
2.2 Constraint Programming
2.3 Scheduling
2.4 Notes and References
3. Models
3.1 Syntactic Conventions
3.2 Terminal Symbols
3.3 Models
4. Data Modleing
4.1 Basic Data Types
4.2 Data Structures
4.3 Variables
4.4 Data Types for Scheduling Applications
4.5 Constraint Declarations
4.6 Data Consistency
4.7 Initialization
5. Expressions and Constraints
5.1 Expressions and Relations
5.2 Constraints
5.3 Stating Constraints
6. Formal Parameters
6.1 Basic Formal Parameters
6.2 Tuples of Parameters
6.3 Filtering in Tuples of Parameters
6.4 Modeling Issues
7. Search
7.1 The Try Instruction
7.2 The Tryall Instruction
7.3 Quantifiers
7.4 Sequencing Choices
7.5 Conditional Choices
7.6 The While Instruction
7.7 The Select Instruction
7.8 The Let Statement
7.9 The Once Statement
7.10 Constraints
7.11 Data-Driven Constructs
7.12 Predefined Search Strategies
7.13 Choices in Scheduling
8. Display
8.1 Displaying Data
8.2 Filtering and Aggregating Results
8.3 Computing Derived Results
8.4 Displaying Tuples
II THE APPLICATION AREAS
9. Linear and Integer Programming
9.1 Linear Programming
9.2 Integer Programming
9.3 Mixed Integer-Linear Programming
9.4 Piecewise Linear Programming
9.5 Notes and References
10. Constraint Programming
10.1 Warehouse Location
10.2 Car Sequencing
10.3 The Euler Tour
10.4 Frequency Allocation
10.5 Rack Configuration
10.6 Notes and References
11. Scheduling
11.1 Origin and Horizon
11.2 Activities
11.3 Unary Resources
11.4 Discrete Resources
11.5 Reservoirs
11.6 Alternative Resources
11.7 Notes and References
Bibliography
Index
Tony Hürlimann
Institute for Informatics, Fribourg, Switzerland Mathematical Modeling and Optimization
An Essay for the Design of Computer-Based Modeling Tools
Kluwer Academic Publishers, Dordrecht
Hardbound, ISBN 0-7923-5927-5
August 1999, 332 pp.
NLG 280.00 / USD 149.00 / GBP 93.00

1. Introduction.
2. What is Modeling?
3. The Modeling Life Cycle.
4. Model Paradigms.
5. Problems and Concepts.
6. An Overview of Approaches.
7. A Modeling Framework.
8. The Definition of the Language.
9. The Implementation.
10. Selected Applications.
11. Conclusion.
References. Glossary. Index.

Author(s)	Book
W.W. Hager, D.W. Hearn, P.M. Pardalos, (Eds.) Center for Applied Optimization, University of Florida	Large-Scale Optimization. State of the Art Kluwer Academic Publishers, Dordrecht, pp.xiv+456, 1994 ISBN 0-7923-2798-5
Magnus Hestens Department of Mathematics, University of California, Los Angeles, Calif 90024.	Conjugate Direction Methods in Optimization Springer Verlag, New York, Heidelberg, Berlin, pp.x+325, 1980 ISBN 0-387-90455-7 Springer Verlag, New York Contents 1. Newton's method and the Gradient method 2. Conjugate direction methods 3. Conjugate Gram-Schmidt process 4. Conjugate gradient algorithms References Index
Pascal Van Hentenryck Department of Computer Science and Engineering, University of Louvain, Belgium with contributions by: Irvin Lustig, Laurent Michel, and Jean-François Puget	The OPL Optimization Programming Language MIT Press Books,January 1999, 255 pp., 51 illus. $30.00 (paper) ISBN 0-262-72030-2 Contents Preface 1. Introduction 1.1 Background 1.2 OPL 1.3 Contents 1.4 Model Conventions and Disclaimers *I THE LANGUAGE* 2. A Short Tour of OPL 2.1 Linear and Integer Programming 2.2 Constraint Programming 2.3 Scheduling 2.4 Notes and References 3. Models 3.1 Syntactic Conventions 3.2 Terminal Symbols 3.3 Models 4. Data Modleing 4.1 Basic Data Types 4.2 Data Structures 4.3 Variables 4.4 Data Types for Scheduling Applications 4.5 Constraint Declarations 4.6 Data Consistency 4.7 Initialization 5. Expressions and Constraints 5.1 Expressions and Relations 5.2 Constraints 5.3 Stating Constraints 6. Formal Parameters 6.1 Basic Formal Parameters 6.2 Tuples of Parameters 6.3 Filtering in Tuples of Parameters 6.4 Modeling Issues 7. Search 7.1 The Try Instruction 7.2 The Tryall Instruction 7.3 Quantifiers 7.4 Sequencing Choices 7.5 Conditional Choices 7.6 The While Instruction 7.7 The Select Instruction 7.8 The Let Statement 7.9 The Once Statement 7.10 Constraints 7.11 Data-Driven Constructs 7.12 Predefined Search Strategies 7.13 Choices in Scheduling 8. Display 8.1 Displaying Data 8.2 Filtering and Aggregating Results 8.3 Computing Derived Results 8.4 Displaying Tuples *II THE APPLICATION AREAS* 9. Linear and Integer Programming 9.1 Linear Programming 9.2 Integer Programming 9.3 Mixed Integer-Linear Programming 9.4 Piecewise Linear Programming 9.5 Notes and References 10. Constraint Programming 10.1 Warehouse Location 10.2 Car Sequencing 10.3 The Euler Tour 10.4 Frequency Allocation 10.5 Rack Configuration 10.6 Notes and References 11. Scheduling 11.1 Origin and Horizon 11.2 Activities 11.3 Unary Resources 11.4 Discrete Resources 11.5 Reservoirs 11.6 Alternative Resources 11.7 Notes and References Bibliography Index
Tony Hürlimann Institute for Informatics, Fribourg, Switzerland	Mathematical Modeling and Optimization An Essay for the Design of Computer-Based Modeling Tools Kluwer Academic Publishers, Dordrecht Hardbound, ISBN 0-7923-5927-5 August 1999, 332 pp. NLG 280.00 / USD 149.00 / GBP 93.00 1. Introduction. 2. What is Modeling? 3. The Modeling Life Cycle. 4. Model Paradigms. 5. Problems and Concepts. 6. An Overview of Approaches. 7. A Modeling Framework. 8. The Definition of the Language. 9. The Implementation. 10. Selected Applications. 11. Conclusion. References. Glossary. Index.