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: The Algorithm Design Manual (3rd Edition)

Author: Steven S. Skiena
Paper Quality: Black White Paper
Category: Computer Science, Algorithms, Data Structures, Software Engineering
Recommended For: BS/MS Computer Science students, software engineers, algorithmic researchers, and competitive programming aspirants.

Key Features of the Book

  1. In-Depth Algorithm Design Concepts:

    • Covers key topics like recursion, divide-and-conquer, dynamic programming, and greedy algorithms.
  2. Problem-Solving Framework:

    • Offers a structured approach to breaking down and solving algorithmic challenges.
  3. Extensive Problem Catalog:

    • Includes a "Hitchhiker’s Guide to Algorithms," with a catalog of algorithmic problems and solutions.
  4. Real-World Applications:

    • Demonstrates the practical use of algorithms in fields like bioinformatics, networking, and artificial intelligence.
  5. Code Implementation:

    • Features C and C++ code examples to provide hands-on learning.
  6. Comprehensive Reference:

    • Acts as both a textbook for students and a practical reference for professionals.
  7. Updated Content:

    • The 3rd edition includes modern algorithmic approaches, such as randomized and parallel algorithms, as well as updates on computational tools.
  8. Technical Interview Preparation:

    • Aids in preparing for coding interviews with detailed problem-solving examples and exercises.
  9. Clear and Accessible Style:

    • Written in a conversational tone, making complex topics understandable even for beginners.
  10. Supplementary Resources:

    • Offers additional resources, including a companion website with lecture slides, exercises, and updates.

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Writer                              Steven S S. Skiena (Author)

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