Handbook of Combinatorial Optimization (Hardback)
  • Handbook of Combinatorial Optimization (Hardback)

Handbook of Combinatorial Optimization (Hardback)

(author), (author)
Hardback 2406 Pages / Published: 31/10/1998
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math- ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air- line crew scheduling, corporate planning, computer-aided design and man- ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca- tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover- ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo- rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi- tion, linear programming relaxations are often the basis for many approxi- mation algorithms for solving NP-hard problems (e.g. dual heuristics).

Publisher: Springer
ISBN: 9780792350194
Number of pages: 2406
Weight: 4015 g
Dimensions: 235 x 155 x 117 mm
Edition: 1998 ed.

You may also be interested in...

Introduction to Graph Theory
Added to basket
Catalan Numbers
Added to basket
Problems in Probability
Added to basket
Enumerative Combinatorics: Volume 2
Added to basket
Combinatorial Optimization
Added to basket
Discrete Mathematics
Added to basket
A Combinatorial Introduction to Topology
Added to basket
102 Combinatorial Problems
Added to basket
Combinatorics and Graph Theory
Added to basket


Please sign in to write a review

Your review has been submitted successfully.