A guide to algorithm design : paradigms, methods, and complexity analysis
(eBook)

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Published
Boca Raton : CRC Press, [2014].
Format
eBook
ISBN
1439898138, 9781439898130
Physical Desc
1 online resource : text file, PDF.
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Language
English

Notes

Bibliography
Includes bibliographical references and index.

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Citations

APA Citation, 7th Edition (style guide)

Benoit, A., Robert, Y., & Vivien, F. (2014). A guide to algorithm design: paradigms, methods, and complexity analysis . CRC Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Benoit, Anne, Yves Robert and Frédéric, Vivien. 2014. A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis. CRC Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Benoit, Anne, Yves Robert and Frédéric, Vivien. A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis CRC Press, 2014.

MLA Citation, 9th Edition (style guide)

Benoit, Anne,, Yves Robert, and Frédéric Vivien. A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis CRC Press, 2014.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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0531b862-9f5f-b14e-5ce2-6bcdca253511-eng
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Grouped Work ID0531b862-9f5f-b14e-5ce2-6bcdca253511-eng
Full titleguide to algorithm design paradigms methods and complexity analysis
Authorbenoit anne
Grouping Categorybook
Last Update2024-09-06 16:31:08PM
Last Indexed2024-09-21 02:35:07AM

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First DetectedJul 29, 2024 04:02:34 PM
Last File Modification TimeSep 06, 2024 04:37:15 PM

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24512|a A guide to algorithm design :|b paradigms, methods, and complexity analysis /|c Anne Benoit, Yves Robert, and Frédérick Vivien.
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264 4|c ©2014
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4901 |a Chapman & Hall/CRC Applied Algorithms and Data Structures series
504 |a Includes bibliographical references and index.
5050 |a 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
5050 |a 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
650 0|a Computer algorithms.|0 http://id.loc.gov/authorities/subjects/sh91000149
650 0|a Computational complexity.|0 http://id.loc.gov/authorities/subjects/sh85029473
650 0|a Algorithms.|0 http://id.loc.gov/authorities/subjects/sh85003487
7001 |a Robert, Yves,|d 1958 September 5-|e author.|0 http://id.loc.gov/authorities/names/n87872417
7001 |a Vivien, Frédéric,|e author.
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830 0|a Chapman & Hall/CRC applied algorithms and data structures series.|0 http://id.loc.gov/authorities/names/no2007106104
85640|u https://www.aclib.us/OReilly
8800 |6 505-00/(S|a 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,
880 |6 520-00/(S|a Polynomial-Time Algorithms: Exercises Introduction to Complexity On the complexity to compute xnAsymptotic notations: O, o, Θ, and ΩDivide-and-Conquer Strassen's algorithm Master theorem Solving recurrencesGreedy Algorithms Motivating example: the sports hall Designing greedy algorithms Graph coloringTheory of matroidsDynamic Programming The coin changing problem The knapsack problem Designing dynamic-programming algorithmsAmortized AnalysisMethods for amortized analysisExercises, Solutions, and Bibliographic Notes appear at the end of each chapter in this section. NP-Completeness and Beyond NP.