The Art Of Computer Programming, Vol. 1: Fundamental Algorithms, 2Nd Edition

The Art Of Computer Programming, Vol. 1: Fundamental Algorithms, 2Nd Edition

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This Volume Begins With Basic Programming Concepts And Techniques, Then Focuses More Particularly On Information Structuresthe Representation Of Information Inside A Computer, The Structural Relationships Between Data Elements And How To Deal With Them Efficiently.

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Frequently Asked Questions

  • Q: What topics are covered in 'The Art of Computer Programming, Vol. 1'? A: This volume covers fundamental algorithms and basic programming concepts, focusing particularly on data structures and their efficient management.
  • Q: Who is the author of this book? A: The author of 'The Art of Computer Programming, Vol. 1' is Donald E. Knuth, a renowned computer scientist.
  • Q: What is the condition of the book? A: The book is listed as being in 'Good' condition, indicating it has been used but remains functional and readable.
  • Q: Is this book suitable for beginners in programming? A: Yes, it begins with basic programming concepts, making it suitable for beginners, although it also delves into more complex topics.
  • Q: What is the binding type of this edition? A: This edition features a hardcover binding, providing durability for frequent use.
  • Q: How many pages does this book contain? A: The book contains a total of 634 pages.
  • Q: What is the publication date of this book? A: The publication date of 'The Art of Computer Programming, Vol. 1' is January 1, 1973.
  • Q: What edition of the book is this? A: This is the 2nd Edition of 'The Art of Computer Programming, Vol. 1'.
  • Q: Is this book still relevant for modern programming? A: Yes, many of the concepts and algorithms discussed are foundational and remain relevant in modern programming practices.
  • Q: Can this book be used as a reference for advanced programming topics? A: Absolutely, it serves as a comprehensive reference for both fundamental and advanced programming topics, especially in algorithms and data structures.