Logo

Knapsack Problems: Algorithms and Computer Implementations

Small book cover: Knapsack Problems: Algorithms and Computer Implementations

Knapsack Problems: Algorithms and Computer Implementations
by

Publisher: John Wiley & Sons
ISBN/ASIN: 0471924202
ISBN-13: 9780471924203
Number of pages: 308

Description:
Here is a state of art examination on exact and approximate algorithms for a number of important NP-hard problems in the field of integer linear programming, which the authors refer to as "knapsack". Includes not only the classical knapsack problems such as binary, bounded, unbounded or binary multiple, but also less familiar problems such as subset-sum and change-making.

Home page url

Download or read it online for free here:
Download link
(23MB, PDF)

Similar books

Book cover: Randomized AlgorithmsRandomized Algorithms
by - ESSLLI
The first part of the course gives an introduction to randomized algorithms and to standard techniques for their derandomization. The second part presents applications of the probabilistic method to the construction of logical models.
(11420 views)
Book cover: Notes on Data Structures and Programming TechniquesNotes on Data Structures and Programming Techniques
by - Yale University
Topics include programming in C; data structures (arrays, stacks, queues, lists, trees, heaps, graphs); sorting and searching; storage allocation and management; data abstraction; programming style; testing and debugging; writing efficient programs.
(7606 views)
Book cover: Computational Geometry: Methods and ApplicationsComputational Geometry: Methods and Applications
by
The author concentrates on four themes in computational geometry: the construction of convex hulls, proximity problems, searching problems and intersection problems. Solving manufacturing problems requires application of fast-algorithm techniques.
(16049 views)
Book cover: Design and Analysis of Computer AlgorithmsDesign and Analysis of Computer Algorithms
by - University of Maryland
The focus is on how to design good algorithms, and how to analyze their efficiency. The text covers some preliminary material, optimization algorithms, graph algorithms, minimum spanning trees, shortest paths, network flows and computational geometry.
(18264 views)