Algorithms Illuminated (Part 3): Greedy Algorithms and Dynamic Programming | Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day | The Data Science Design Manual (Texts in Computer Science) | Programming Pearls | Structure and Interpretation of Computer Programs | Algorithms | Introduction to Algorithms
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding onÂ the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.The reader-friendlyÂ Algorithm Design ManualÂ provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part,Â Techniques, provides accessible instructionÂ on methods for designing and analyzing computer algorithms. The second part,Â Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography.NEWÂ to the second edition:
â¢Â Doubles the tutorial material and exercisesÂ over the first edition
â¢ ProvidesÂ full online supportÂ for lecturers, and aÂ completely updated and improvedÂ website component with lecture slides, audio and videoâ¢ Contains aÂ unique catalogÂ identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them
â¢ Includes severalÂ NEWÂ "war stories" relating experiences fromÂ real-world applicationsâ¢Â Provides up-to-date links leading to the very best algorithmÂ implementationsÂ available in C, C++, and Java
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