Algorithms and Theory of Computation Handbook, Volume 1

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A01=Marina Blanton
A01=Mikhail J. Atallah
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advanced algorithm analysis for researchers
Algorithms design and analysis technique
Augmenting Path
Author_Marina Blanton
Author_Mikhail J. Atallah
Basic data strucutres
BFS Tree
Category=PBCD
Category=UMB
Complexity Classes
Computation Handbook
computational complexity theory
Connected Component
Convex optimization
data compression methods
Deterministic TM
distributed computing models
Dynamic graph algorithms
Ellipsoid Method
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Euler Tour
external memory algorithms
Functional Languages
Independent Set
Integer LP
Interior Point Method
LDPC Code
Linear Programming
Log Logm
machine
Multivariate Polynomials
Nondeterministic TM
Oracle Turing Machine
parameterised algorithm design
pattern matching techniques
polynomial
priority
Priority Queue
Priority Search Tree
Processor P0
queue
random
Range Query
search
Search Tree
Simulated annealing techniques
time
tree
turing
Turing Machine
Vertex Cover

Product details

  • ISBN 9781584888222
  • Weight: 2000g
  • Dimensions: 178 x 254mm
  • Publication Date: 20 Nov 2009
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Algorithms and Theory of Computation Handbook, Second Edition: General Concepts and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. Along with updating and revising many of the existing chapters, this second edition contains four new chapters that cover external memory and parameterized algorithms as well as computational number theory and algorithmic coding theory.

This best-selling handbook continues to help computer professionals and engineers find significant information on various algorithmic topics. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics.

Mikhail J. Atallah is a distinguished professor of computer science at Purdue University.

Marina Blanton is an assistant professor in the computer science and engineering department at the University of Notre Dame

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