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Algorithmic Thinking
Learn Algorithms to Level Up Your Coding Skills
Taschenbuch von Daniel Zingaro
Sprache: Englisch

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Beschreibung
"An introduction to solving problems with algorithms and data structures, using competitive programming examples. Topics covered include recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and other data structures for efficiently handling data"-Provided by publisher"--
"An introduction to solving problems with algorithms and data structures, using competitive programming examples. Topics covered include recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and other data structures for efficiently handling data"-Provided by publisher"--
Über den Autor
Dr. Daniel Zingaro is an award-winning associate professor of mathematical and computational sciences at the University of Toronto Mississauga. He is well known for his uniquely interactive approach to teaching and internationally recognized for his expertise in active learning. He is also the author of Learn to Code by Solving Problems (No Starch Press) and co-author of Learn AI-Assisted Python Programming.
Inhaltsverzeichnis
Foreword
Introduction
Acknowledgments
Chapter 1: Hash Tables
Chapter 2: Trees and Recursion
Chapter 3: Memoization and Dynamic Programming
Chapter 4: Advanced Memoization and Dynamic Programming
Chapter 5: Graphs and Breadth-First Search
Chapter 6: Shortest Paths in Weighted Graphs
Chapter 7: Binary Search
Chapter 8: Heaps and Segment Trees
Chapter 9: Union-Find
Chapter 10: Randomization
Afterword
Appendix A: Algorithm Runtime
Appendix B: Because I Can’t Resist
Appendix C: Problem Credits
Index
Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781718503229
ISBN-10: 1718503229
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Zingaro, Daniel
Auflage: 2nd Edition
Hersteller: Random House LLC US
No Starch Press
Maße: 236 x 178 x 29 mm
Von/Mit: Daniel Zingaro
Erscheinungsdatum: 23.01.2024
Gewicht: 0,898 kg
Artikel-ID: 126791042
Über den Autor
Dr. Daniel Zingaro is an award-winning associate professor of mathematical and computational sciences at the University of Toronto Mississauga. He is well known for his uniquely interactive approach to teaching and internationally recognized for his expertise in active learning. He is also the author of Learn to Code by Solving Problems (No Starch Press) and co-author of Learn AI-Assisted Python Programming.
Inhaltsverzeichnis
Foreword
Introduction
Acknowledgments
Chapter 1: Hash Tables
Chapter 2: Trees and Recursion
Chapter 3: Memoization and Dynamic Programming
Chapter 4: Advanced Memoization and Dynamic Programming
Chapter 5: Graphs and Breadth-First Search
Chapter 6: Shortest Paths in Weighted Graphs
Chapter 7: Binary Search
Chapter 8: Heaps and Segment Trees
Chapter 9: Union-Find
Chapter 10: Randomization
Afterword
Appendix A: Algorithm Runtime
Appendix B: Because I Can’t Resist
Appendix C: Problem Credits
Index
Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781718503229
ISBN-10: 1718503229
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Zingaro, Daniel
Auflage: 2nd Edition
Hersteller: Random House LLC US
No Starch Press
Maße: 236 x 178 x 29 mm
Von/Mit: Daniel Zingaro
Erscheinungsdatum: 23.01.2024
Gewicht: 0,898 kg
Artikel-ID: 126791042
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