Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. Graphical Display Methods -- 3. Measures of Central Location and Dispersion -- 4. Probability -- 5. Discrete Random Variables -- 6. Continuous Random Variables -- 7. Sampling and Sampling Distributions -- 8. Statistical Estimation -- 9....

This book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications. The most important classes of problems are surveyed and presented by means of mathematical formulations, followed by solution methods...

1. Introduction -- 2. Linear Programming -- 3. Multiobjective Programming -- 4. Nonlinear Programming -- 5. Integer Linear Programming -- 6. Network Models -- 7. Location Models -- 8. Project Networks -- 9. Machine Scheduling -- 10. Decision Analysis -- 11. Multiattribute Decision Making -- 12....

Notation -- I: Analysis of Decision Making -- 1 Multicriteria Decision Making -- 2 Games Against Nature -- 3 Game Theory -- II: Location and Layout Decisions -- 1 Fundamentals of Location and Layout Problems -- 2 Location Models on Networks -- 3 Continuous Location Models -- 4 Other Location...

The book presents a unified treatment of integer programming and network models with topics ranging from exact and heuristic algorithms to network flows, traveling salesman tours, and traffic assignment problems. While the emphasis of the book is on models and applications, the most important...

to Operations Research -- Linear Programming -- Multiobjective Programming -- Integer Programming -- Network Models -- Location Models -- Project Networks -- Machine Scheduling -- Decision Analysis -- Inventory Models -- Stochastic Processes and Markov Chains -- Waiting Line Models -- Simulation

Introduction -- Linear Programming -- Multi objective Programming -- Integer Linear Programming -- Network Models -- Location Models -- Project Networks -- Maschine Scheduling -- Decision Analysis -- Multi criteria Decision Analysis -- Inventory Models -- Stochastik Processes and Markov Chains...

This paper describes a constrained optimization method that was inspired by the physical equivalent of a small ball that, propelled only by gravity, is dropped from an initial point inside a full-dimensional body, represented by the set of feasible solutions. The ball will eventually hit one of...

This paper describes a constrained optimization method that was inspired by the physical equivalent of a small ball that, propelled only by gravity, is dropped from an initial point inside a full-dimensional body, represented by the set of feasible solutions. The ball will eventually hit one of...