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How to Think about Algorithms

Authors

, York University, Toronto
Published 2024

Description

Understand algorithms and their design with this revised student-friendly textbook. Unlike other algorithms books, this one is approachable, the methods it explains are straightforward, and the insights it provides are numerous and valuable. Without grinding through lots of formal proof, students will benefit from step-by-step methods for developing algorithms, expert guidance on common pitfalls, and an appreciation of the bigger picture. Revised and updated, this second edition includes a new chapter on machine learning algorithms, and concise key concept summaries…

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Key features

  • Includes numerous new exercises, with selected solutions in the text and a full solutions manual for instructors available online
  • Presents step-by-step methods for developing algorithms and guides students through common pitfalls, giving students the support they need to design their own algorithms
  • Exceptionally clear and approachable and can be used to supplement other, more difficult textbooks

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