Książka Location, Scheduling, Design and Integer Programming Manfred W. Padberg

Location, Scheduling, Design and Integer Programming

Język: Angielski
Oprawa: Twarda
Wydawca: Springer
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
634.01
This monograph focuses on a class of problems that in effect have yet to be solved. Location, schedu...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
1996
strony
220
EAN
9780792397151
ISBN
0792397150
Enbook ID
01398411
Wydawca
Waga
1130
Wymiary
156 x 234 x 17

Pełny opis

This monograph focuses on a class of problems that in effect have yet to be solved. Location, scheduling and design problems are assignment type problems with quadratic cost functions and occur in many contexts. Applications of these problems abound in diverse disciplines, such as anthropology, archeology, architecture, chemistry, computer science, economics, electronics, ergonomics, marketing, operations management, political science, statistical physics, zoology, etc. Padberg and Rijal have taken an important step in the solution of these problems. In this monograph they classify mathematical properties for ten classes of assignment problems: Quadratic Assignment Problems, Traveling Salesman Problems, Triangulation Problems, Linear Assignment Problems, VLSI Circuit Layout Design Problems, Multi-Processor Problems, Scheduling Problems with Interaction Costs, Operation-Scheduling Problems, Graph and Clique Partitioning Problems, and Boolean Quadratic Problems. They note that before these problems can be solved computationally, one must know and understand their mathematical properties. After discussing these properties, an integer programming approach is offered for solving them. The computational approach has shown considerable algorithmic success. The heart of this monograph is the theoretical work on assignment problems and the computation results that were produced using algorithms developed at NYU. The authors conclude that implementing a proper branch-and-cut algorithm on these types of problems will push the limits of exact computation far beyond the current ones.

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