Introduction to Algorithms 4th Edition by Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein ISBN 0262367505 9780262367509

Introduction to Algorithms 4th Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein – Ebook PDF Instant Download/Delivery: 0262367505, 9780262367509

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Product details:

ISBN 10: 0262367505

ISBN 13: 9780262367509

Author:  Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein 

Introduction to Algorithms 4th Edition: A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.

New for the fourth edition

• New chapters on matchings in bipartite graphs, online algorithms, and machine learning

• New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays

• 140 new exercises and 22 new problems

• Reader feedback–informed improvements to old problems

• Clearer, more personal, and gender-neutral writing style

• Color added to improve visual presentation

• Notes, bibliography, and index updated to reflect developments in the field

• Website with new supplementary material

Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.

 

Introduction to Algorithms 4th Edition Table of contents:

• Part I: Foundations

  • Chapter 1: The role of algorithms in computing
  • Chapter 2: Getting started
  • Chapter 3: Characterizing running times
  • Chapter 4: Divide-and-conquer
  • Chapter 5: Probabilistic analysis and randomized algorithms

• Part II: Sorting and Order Statistics

  • Chapter 6: Heapsort
  • Chapter 7: Quicksort
  • Chapter 8: Sorting in linear time
  • Chapter 9: Medians and order statistics

• Part III: Data Structures

  • Chapter 10: Elementary data structures
  • Chapter 11: Hash tables
  • Chapter 12: Binary search trees
  • Chapter 13: Red-black trees

• Part IV: Advanced Design and Analysis Techniques

  • Chapter 14: Dynamic programming
  • Chapter 15: Greedy algorithms
  • Chapter 16: Amortized analysis

• Part V: Advanced Data Structures

  • Chapter 17: Augmenting data structures
  • Chapter 18: B-trees
  • Chapter 19: Data structures for disjoint sets

• Part VI: Graph Algorithms

  • Chapter 20: Elementary graph algorithms
  • Chapter 21: Minimum spanning trees
  • Chapter 22: Single-source shortest paths
  • Chapter 23: All-pairs shortest paths
  • Chapter 24: Maximum flow
  • Chapter 25: Matchings in bipartite graphs

• Part VII: Selected Topics

  • Chapter 26: Parallel algorithms
  • Chapter 27: Online algorithms
  • Chapter 28: Matrix operations
  • Chapter 29: Linear programming
  • Chapter 30: Polynomials and the FFT
  • Chapter 31: Number-theoretic algorithms
  • Chapter 32: String matching
  • Chapter 33: Machine-learning algorithms
  • Chapter 34: NP-completeness
  • Chapter 35: Approximation algorithms

• Part VIII: Appendix: Mathematical Background

  • Chapter A: Summations
  • Chapter B: Sets, etc.
  • Chapter C: Counting and probability

 

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