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Algorithm Design - TARDOS
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Dynamic Programming

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2022-02-24 00:27:32
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  • About the Authors
  • Contents
  • Preface
  • 1   Introduction: Some Representative Problems
  • Introduction: Some Representative Problems
  • 2   Basics of Algorithm Analysis
  • Basics of Algorithm Analysis
  • 3   Graphs
  • Graphs
  • 4   Greedy Algorithms
  • Greedy Algorithms
  • 4.6 Implementing Kruskal's Algorithm: The Union-Find Data Structure
  • 5   Divide and Conquer
  • Divide and Conquer
  • 6   Dynamic Programming
  • Dynamic Programming
  • 6.6 Sequence Alignment
  • 7   Network Flow
  • Network Flow
  • 7.8 Survey Design
  • 7.12 Baseball Elimination
  • 8   NP and Computational Intractability
  • NP and Computational Intractability
  • 8.7 Graph Coloring
  • 9   PSPACE: A Class of Problems beyond NP
  • PSPACE: A Class of Problems beyond NP
  • 10   Extending the Limits of Tractability
  • Extending the Limits of Tractability
  • 11   Approximation Algorithms
  • Approximation Algorithms
  • 12   Local Search
  • Local Search
  • 13   Randomized Algorithms
  • Randomized Algorithms
  • Example: Waiting for a First Success
  • 13.8 Randomized Caching
  • Epilogue: Algorithms That Run Forever
  • References
  • Index
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