𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Combinatorial optimization: networks and matroids

✍ Scribed by Eugene L. Lawler


Publisher
Oxford University Press, USA
Year
1995
Tongue
English
Leaves
384
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Perceptively written text examines optimization problems that can be formulated in terms of networks and algebraic structures called matroids. Chapters cover shortest paths, network flows, bipartite matching, nonbipartite matching, matroids and the greedy algorithm, matroid intersections, and the matroid parity problems. A suitable text or reference for courses in combinatorial computing and concrete computational complexity in departments of computer science and mathematics.


πŸ“œ SIMILAR VOLUMES


Combinatorial Optimization: Networks and
✍ Eugene L. Lawler πŸ“‚ Library πŸ“… 1995 πŸ› Oxford University Press, USA 🌐 English

Perceptively written text examines optimization problems that can be formulated in terms of networks and algebraic structures called matroids. Chapters cover shortest paths, network flows, bipartite matching, nonbipartite matching, matroids and the greedy algorithm, matroid intersections, and the ma

Combinatorial Optimization: Theory and A
✍ Bernhard Korte, Jens Vygen πŸ“‚ Library πŸ“… 2005 πŸ› Springer 🌐 English

This is the most comprehensive compilation on combinatorial optiomization I have seen so far. Usually, Papadimitriou's book is a good place for this material - but in many cases, looking for proofs and theorems - I had to use several books: (*) Combinatorial Optimization Algorithms and Complexity by

Combinatorial Optimization: Theory and A
✍ Bernhard Korte πŸ“‚ Library πŸ“… 2012 πŸ› Springer 🌐 English

<span>This comprehensive textbook on combinatorial optimization places specialemphasis on theoretical results and algorithms with provably goodperformance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This

Geometric Algorithms and Combinatorial O
✍ Martin GrΓΆtschel, Laszlo Lovasz, Alexander Schrijver πŸ“‚ Library πŸ“… 1993 πŸ› Springer 🌐 English

This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and, in particular, combinatorial optimization. It offers a unifying approach which is based on two fundamental geometric algorithms: the ellipsoid method for finding a poin