Think Data Structures
by Allen B. Downey
Publisher: Green Tea Press 2016
Number of pages: 187
This book is intended for college students in computer science and related fields. I try to alleviate the boredom by organizing the topics around an application -- web search -- that uses data structures extensively, and is an interesting and important topic in its own right. This book also presents basic aspects of software engineering practice, including version control and unit testing. Each chapter ends with an exercise that allows readers to apply what they have learned.
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by Niklaus Wirth - Prentice Hall
The book treats practically important algorithms and data structures. It starts with a chapter on data structure, then it treats sorting algorithms, concentrates on several examples of recursion, and deals with dynamic data structures.
by K. Raghava Rao - Smashwords
This book provides a complete information to the modern study of computer algorithms. It presents many concepts in a considerable depth, so that it can be understand by all levels of readers. Each and every concept is explained by suitable examples.
by Ian Parberry, William Gasarch - Prentice Hall
A collection of problems on the design, analysis, and verification of algorithms for practicing programmers who wish to hone and expand their skills, as a supplementary text for students, and as a self-study text for graduate students.
by Clifford A. Shaffer - Virginia Tech
A comprehensive treatment of fundamental data structures and algorithm analysis with a focus on how to create efficient data structures and algorithms. Aims to help the reader gain an understanding of how to select or design the best data structure.