The Algorithm Design Manual 3rd 2020 (Texts in Computer Science)

ĐẢM BẢO " KHÔNG LỖI , KHÔNG ĐEN HÌNH ,KHÔNG ƯNG HOÀN TRẢ TIỀN "

Giấy in ngoại nên viết vẽ và hightlight thoải mái.

The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker's Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography.

NEW to the third edition:

-- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing

-- Provides full online support for lecturers, including an improved website component with lecture slides and videos

-- Full color illustrations and code instantly clarify difficult concepts -- Includes several new "war stories" relating experiences from real-world applications

-- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank.

-- Provides up-to-date links leading to the best implementations available in C, C++, and Java

Additional Learning Tools:

-- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them

-- Exercises include "job interview problems" from major software companies

-- Highlighted "take home lessons" emphasize essential concepts

-- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject

-- Many algorithms are presented with actual code (written in C)

-- Provides comprehensive references to both survey articles and the primary literature

Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of

The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.