A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems

Lingua: inglese

Editore: Springer US, Chapman And Hall/CRC Dez 1998, 1998

0792354877 / 9780792354871

Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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Venditore AbeBooks dal 11 gennaio 2012

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the theory and applications of the Reformulation- Linearization/Convexification Technique (RL T) for solving nonconvex optimization problems. A unified treatment of discrete and continuous nonconvex programming problems is presented using this approach. In essence, the bridge between these two types of nonconvexities is made via a polynomial representation of discrete constraints. For example, the binariness on a 0-1 variable x . can be equivalently J expressed as the polynomial constraint x . (1-x . ) = 0. The motivation for this book is J J the role of tight linear/convex programming representations or relaxations in solving such discrete and continuous nonconvex programming problems. The principal thrust is to commence with a model that affords a useful representation and structure, and then to further strengthen this representation through automatic reformulation and constraint generation techniques. As mentioned above, the focal point of this book is the development and application of RL T for use as an automatic reformulation procedure, and also, to generate strong valid inequalities. The RLT operates in two phases. In the Reformulation Phase, certain types of additional implied polynomial constraints, that include the aforementioned constraints in the case of binary variables, are appended to the problem. The resulting problem is subsequently linearized, except that certain convex constraints are sometimes retained in XV particular special cases, in the Linearization/Convexijication Phase. This is done via the definition of suitable new variables to replace each distinct variable-product term. The higher dimensional representation yields a linear (or convex) programming relaxation. 540 pp. Englisch.…

Codice articolo 9780792354871

Titolo
A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems
Autore
W. P. Adams
Editore
Springer US, Chapman And Hall/CRC Dez 1998
Anno di pubblicazione
1998
Condizione
Neu
Rilegatura
Buch
Lingua
inglese
ISBN 10
0792354877
ISBN 13
9780792354871
Peso dell'articolo
969 grammi
Dimensioni
241x160x34 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 11 gennaio 2012

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 5 a 15 giorni lavorativiDa 5 a 15 giorni lavorativi
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BuchWeltWeit Ludwig Meier e.K.

Germania