1 Best Seller in Data Structure and Algorithms
Introduction to Algorithms, Fourth Edition
The Essential Text and Professional Reference, with Special Focus on Design and Analysis
The latest edition of the most popular textbook and professional reference in algorithms — now expanded with new material on network flows, NP-completeness, and advanced data structures.
This classic text and professional reference has helped countless students and developers master algorithms and data structures. Algorithms themselves are not inherently hard to understand, but explaining them in a clear, concise, and engaging manner is a rare art. This book captures that art — it is a masterwork of exposition that makes the difficult easy.
This Fourth Edition has been updated to reflect the latest trends in the field. New problems, new applications, and new material on network flows, NP-completeness, and advanced data structures have been added. There are also a number of new homework exercises and labs.
This book will help you:
- Master the fundamental algorithms and data structures that underpin today's software and hardware
- Become a more effective programmer and problem solver
- Design and analyze efficient algorithms for real-world problems
Introduction to Algorithms, Fourth Edition is the ideal textbook for students of computer science and engineering. It is also a valuable reference for professionals who need to master the algorithms and data structures that underlie modern computing.
About the Author
Thomas H. Cormen is a professor of computer science at Dartmouth College. He has been recognized for his research in algorithms and his contributions to computer science education.
Charles E. Leiserson is a professor of computer science and engineering at MIT. He has been recognized for his research in algorithms, networking, and parallel computing.
Ronald L. Rivest is a professor of computer science and engineering at MIT. He is best known for his work on the RSA cryptosystem, which is widely used for secure communication.
Clifford Stein is a professor of computer science at Columbia University. He has been recognized for his research in algorithms, data structures, and computational geometry.
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