A guide to algorithm design : paradigms, methods, and complexity analysis /: paradigms, methods, and complexity analysis. ([2014])
- Record Type:
- Book
- Title:
- A guide to algorithm design : paradigms, methods, and complexity analysis /: paradigms, methods, and complexity analysis. ([2014])
- Main Title:
- A guide to algorithm design : paradigms, methods, and complexity analysis
- Further Information:
- Note: Anne Benoit, Yves Robert, and Frédérick Vivien.
- Authors:
- Benoit, Anne
Robert, Yves, 1938-
Vivien, Frédéric - Contents:
- Polynomial-Time Algorithms: Exercises; Introduction to Complexity; On the complexity to compute xn ; Asymptotic notations: O, o, Θ, and Ω Divide-and-Conquer ; Strassen’s algorithm; Master theorem; Solving recurrences Greedy Algorithms ; Motivating example: the sports hall; Designing greedy algorithms; Graph coloring; Theory of matroids Dynamic Programming ; The coin changing problem; The knapsack problem; Designing dynamic-programming algorithms Amortized Analysis ; Methods for amortized analysis Exercises, Solutions, and Bibliographic Notes appear at the end of each chapter in this section. NP-Completeness and Beyond ; NP-Completeness ; A practical approach to complexity theory; Problem classes; NP-complete problems and reduction theory; Examples of NP-complete problems and reductions; Importance of problem definition; Strong NP-completeness; Why does it matter? Exercises on NP-Completeness; Easy reductions; About graph coloring; Scheduling problems; More involved reductions; 2-PARTITION is NP-complete Beyond NP-Completeness ; Approximation results; Polynomial problem instances; Linear programming; Randomized algorithms; Branch-and-bound and backtracking Exercises Going beyond NP-Completeness ; Approximation results; Dealing with NP-complete problems Reasoning on Problem Complexity ; Reasoning to Assess a Problem Complexity ; Basic reasoning; Set of problems with polynomial-time algorithms; Set of NP-complete problems Chains-on-Chains Partitioning ; Optimal algorithms forPolynomial-Time Algorithms: Exercises; Introduction to Complexity; On the complexity to compute xn ; Asymptotic notations: O, o, Θ, and Ω Divide-and-Conquer ; Strassen’s algorithm; Master theorem; Solving recurrences Greedy Algorithms ; Motivating example: the sports hall; Designing greedy algorithms; Graph coloring; Theory of matroids Dynamic Programming ; The coin changing problem; The knapsack problem; Designing dynamic-programming algorithms Amortized Analysis ; Methods for amortized analysis Exercises, Solutions, and Bibliographic Notes appear at the end of each chapter in this section. NP-Completeness and Beyond ; NP-Completeness ; A practical approach to complexity theory; Problem classes; NP-complete problems and reduction theory; Examples of NP-complete problems and reductions; Importance of problem definition; Strong NP-completeness; Why does it matter? Exercises on NP-Completeness; Easy reductions; About graph coloring; Scheduling problems; More involved reductions; 2-PARTITION is NP-complete Beyond NP-Completeness ; Approximation results; Polynomial problem instances; Linear programming; Randomized algorithms; Branch-and-bound and backtracking Exercises Going beyond NP-Completeness ; Approximation results; Dealing with NP-complete problems Reasoning on Problem Complexity ; Reasoning to Assess a Problem Complexity ; Basic reasoning; Set of problems with polynomial-time algorithms; Set of NP-complete problems Chains-on-Chains Partitioning ; Optimal algorithms for homogeneous resources; Variants of the problem; Extension to a clique of heterogeneous resources; Conclusion Replica Placement in Tree Networks ; Access policies; Complexity results; Variants of the replica placement problem; Conclusion Packet Routing ; MEDP: Maximum edge-disjoint paths; PRVP: Packet routing with variable-paths; Conclusion Matrix Product, or Tiling the Unit Square ; Problem motivation; NP-completeness; A guaranteed heuristic; Related problems Online Scheduling ; Flow time optimization; Competitive analysis; Makespan optimization; Conclusion Bibliography Index … (more)
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2014
- Extent:
- 1 online resource
- Subjects:
- 005.1
Computer algorithms
Computational complexity
Computational complexity
Computer algorithms
Electronic books - Languages:
- English
- ISBNs:
- 9781439898130
1439898138
9781439825648
1439825645
9781439898147
1439898146
9781466533875
1466533870
9781439825655
1439825653 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.161030
- Ingest File:
- 01_118.xml