Algorithm and Design Complexity

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A01=Anli Sherine
A01=Geno Peter
A01=Mary Jasmine
A01=S. Albert Alexander
advanced algorithmic strategies
algorithm analysis techniques
Answer Node
asymptotic notation
Author_Anli Sherine
Author_Geno Peter
Author_Mary Jasmine
Author_S. Albert Alexander
Backtracking
Backtracking Algorithm
Biconnected Components
Binary Search
BST
Category=UMB
Category=UY
combinatorial optimization
complexity theory
computational procedures
Counterfeit Coin
Dead Node
divide and conquer methods
Dynamic Programming
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
External Nodes
Graph
Greedy Algorithm
Halting Problem
Hamiltonian Cycle
Knapsack Problem
Knapsackproblem
Kruskal's Algorithm
Kruskal’s Algorithm
Live Nodes
Merge Sort
Minimum Cost Path
Nondeterministic Algorithm
Polynomial Time
Prim's Algorithm
Prim’s Algorithm
Recursive Calls
Spanning Tree
State Space Search
Time Space Tradeoff
Traveling Salesperson Problem
Undirected Graph

Product details

  • ISBN 9781032409320
  • Weight: 520g
  • Dimensions: 156 x 234mm
  • Publication Date: 04 May 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time-space trade-off, symptotic notations, and so forth. It further includes algorithms that are definite and effective, known as computational procedures. Further topics explored include divide-and-conquer, dynamic programming, and backtracking.

Features:

  • Includes complete coverage of basics and design of algorithms
  • Discusses algorithm analysis techniques like divide-and-conquer, dynamic programming, and greedy heuristics
  • Provides time and space complexity tutorials
  • Reviews combinatorial optimization of Knapsack problem
  • Simplifies recurrence relation for time complexity

This book is aimed at graduate students and researchers in computers science, information technology, and electrical engineering.

Anli Sherine, S. Albert Alexander

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