Algorithmics For Hard Computing Problems: Intro to Combina- torial Optimization,Randomized Approximation Heuristic Alg



Algorithmics For Hard Computing Problems: Intro to Combina- torial Optimization,Randomized Approximation Heuristic Alg
Springer | 2001-06-15 | ISBN: 3540668608 | 538 pages | DJVU | 4 mb
This book is an introduction to the methods of designing algorithms for hard computing tasks. This area has developed very dynamically in the last years and is one of the kernels of current research in algorithm and complexity theory.
The book mainly concentrates on approximate, randomized and heuristic algorithms, and on the theoretical and experimental comparison of these approaches according to the requirements of the practice. There exist several monographs specializing in some of these methods, but no book systematically explains and compares all main possibilities of attacking hard computing problems. Since the topic is fundamental for the university study in computer science and essential for the transfer of formal methods to the practice, the aim of the book is to close this gap by providing at once a textbook for graduate students and a handbook for practitioners dealing with hard computing problems.

LINK
http://sharingmatrix.com/file/6058557/AlgorithmicsforHardProblems.djvu

http://www.megaupload.com/?d=CO13V6B0

plz

[Fast Download] Algorithmics For Hard Computing Problems: Intro to Combina- torial Optimization,Randomized Approximation Heuristic Alg


Related eBooks:
Infinite Dimensional Dynamical Systems
The Theory of Linear Prediction
Introduction to the Finite Element Method in Electromagnetics
Topological Vector Spaces
Mathematical Modelling in Plant Biology
Universal Algebra
Cracking the GED Test with 2 Practice Exams: All the Strategies, Review, and Practice You Need to He
The Nature of Statistical Evidence
From Fermat to Minkowski
Introductory Statistics and Random Phenomena
Topological Vector Spaces, Distributions and Kernels
Selected Works of A.N. Kolmogorov: vol. 2 Probability Theory and Mathematical Statistics
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.