Synopsis
A combinatorial optimization problem consists of finding the minimum s of a function f (economic functions), with real or integer variable on a finite set S, the elements of S verifying certain Optimization is choosing an efficient method capable of producing an optimal solution in a reasonablecomputational time. The different resolution methods developed can be classified into two categories: exact methods which guarantee the completeness of the resolution and approximate methods which lose completeness to gain efficiency. constraints are called feasible solutions; among which, the optimal solution is included..
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Methods for combinatorial optimization -With examples
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Paperback. Condition: new. Paperback. A combinatorial optimization problem consists of finding the minimum s of a function f (economic functions), with real or integer variable on a finite set S, the elements of S verifying certain Optimization is choosing an efficient method capable of producing an optimal solution in a reasonablecomputational time. The different resolution methods developed can be classified into two categories: exact methods which guarantee the completeness of the resolution and approximate methods which lose completeness to gain efficiency. constraints are called feasible solutions; among which, the optimal solution is included. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786200046376
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Methods for combinatorial optimization -With examples (Paperback or Softback)
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A combinatorial optimization problem consists of finding the minimum s of a function f (economic functions), with real or integer variable on a finite set S, the elements of S verifying certain Optimization is choosing an efficient method capable of producing an optimal solution in a reasonablecomputational time. The different resolution methods developed can be classified into two categories: exact methods which guarantee the completeness of the resolution and approximate methods which lose completeness to gain efficiency. constraints are called feasible solutions; among which, the optimal solution is included. 52 pp. Englisch. Seller Inventory # 9786200046376
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Methods for combinatorial optimization -With examples
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