Many algorithm books are either rigorous but incomplete, or comprehensive yet lacking in rigor. Introduction to Algorithms stands out by offering both depth and precision. It provides an extensive range of algorithms explained clearly, with each chapter designed to be self-contained and accessible to readers at all levels. Using concise pseudocode, it makes the design and analysis of algorithms easier to understand. Since the release of its first edition, this book has become the leading algorithms textbook for universities worldwide and a trusted reference for professionals. The fourth edition features updates throughout to keep pace with the evolving field.

What’s New in the Fourth Edition

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

• Expanded coverage of recurrence equations, hash tables, potential functions, and suffix arrays

• 140 new exercises and 22 new problems

• Enhanced older problems based on reader feedback

• Clearer, more inclusive, and gender-neutral writing

• Use of color for improved readability

• Updated notes, bibliography, and index to reflect recent advancements

• A companion website offering new supplementary materials

Important Notice

To avoid incomplete or error-filled counterfeit copies, always purchase Introduction to Algorithms from reputable retailers.