| Description |
1 online resource (xxi, 270 pages) : illustrations |
| Series |
International series in operations research and management science |
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International series in operations research & management science.
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| Contents |
Front Matter; Preliminaries; Seeking Feasibility in Linear Programs; Seeking Feasibility in Mixed-Integer Linear Programs; A Brief Tour of Constraint Programming; Seeking Feasibility in Nonlinear Programs; Isolating Infeasibility; Finding the Maximum Feasible Subset of Linear Constraints; Altering Constraints to Achieve Feasibility; Other Model Analyses; Data Analysis; Miscellaneous Applications; Back Matter |
| Summary |
Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. Constrained optimization models have grown immensely in scale and complexity in recent years as inexpensive computing power has become widely available. Models now frequently have many complicated interacting constraints, giving rise to a host of issues related to feasibility and infeasibility. For example, it is sometimes difficult to find any feasible point at all for |
| Bibliography |
Includes bibliographical references (pages 249-263) and index |
| Notes |
Print version record |
| In |
Springer e-books |
| Subject |
Mathematical optimization.
|
|
Feasibility studies.
|
|
Feasibility Studies
|
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feasibility studies.
|
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MATHEMATICS -- Optimization.
|
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Mathematical optimization.
|
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Feasibility studies.
|
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Optimización matemática
|
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Feasibility studies
|
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Mathematical optimization
|
| Form |
Electronic book
|
| LC no. |
2007935595 |
| ISBN |
9780387749327 |
|
0387749322 |
|
0387749314 |
|
9780387749310 |
|
