Methods Combinatorial Optimization with by Selt Omar (14 results)
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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.
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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 reasona…blecomputational 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 metho…d 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.
