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

Location, Scheduling, Design and Integer Programming

Limbă: engleză
Legare: Copertă tare
Editura: Springer
Disponibilitate: În depozitul extern
Expediem în 10-13 zile
830.22 lei
This monograph focuses on a class of problems that in effect have yet to be solved. Location, schedu...

Informații despre carte

Limbă
engleză
Legare
Carte - Copertă tare
Publicat
1996
Pagini
220
EAN
9780792397151
ISBN
0792397150
Enbook ID
01398411
Editura
Greutate
1130
Dimensiuni
156 x 234 x 17

Descriere completă

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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