Parallel Processing of Discrete Problems
Panos M. Pardalos
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at 250 WPM4h 3m
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Parallel Processing of Discrete Problems
Published
2012
Publisher
Springer New York
Pages
243
ISBN-13
9781461271659
Description
In the past two decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, availability of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization problems. The chapters in this volume cover a broad spectrum of recent research in parallel processing of discrete and related problems. The topics discussed include distributed branch-and-bound algorithms, parallel genetic algorithms for large scale discrete problems, simulated annealing, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel optical models of computing, randomized parallel algorithms, general techniques for the design of parallel discrete algorithms, parallel algorithms for the solution of quadratic assignment and satisfiability problems. The book will be a valuable source of information to faculty, students and researchers in combinatorial optimization and related areas.
Discrete and combinatorial mathematics
Introduction to combinatorial mathematics
Elements of discrete mathematics
Introductory combinatorics
The probabilistic method
Applied combinatorics
Frequently Asked Questions
How many pages are in Parallel Processing of Discrete Problems?
This edition of Parallel Processing of Discrete Problems has approximately 243 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Parallel Processing of Discrete Problems?
For most readers, Parallel Processing of Discrete Problems typically takes between 5h 4m and 3h 23m to complete. This is based on the book's length of approximately 60,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 3m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 9 days • Estimated word count: 60,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Parallel Processing of Discrete Problems?
The estimated word count for Parallel Processing of Discrete Problems is approximately 60,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Parallel Processing of Discrete Problems?
Parallel Processing of Discrete Problems was written by Panos M. Pardalos.
When was Parallel Processing of Discrete Problems published?
The publication date for this specific edition is 2012. The original work may have been published on a different date.