Love it or hate it, an engineer cannot escape algorithms! But to help you solve the complexity, here we bring 11 free ebooks to understand Algorithm better. Enjoy!
1. Algorithms
Author: Robert Sedgewick, Kevin Wayne
Publisher: Addison-Wesley Professional 2011
This textbook surveys the most important algorithms and data structures in use today. Applications to science, engineering, and industry are a key feature of the text. We motivate each algorithm by examining its impact on specific applications.
2. Sequential and Parallel Sorting Algorithms
Author: H. W. Lang
Publisher: FH Flensburg, 2000
From the table of contents: insertion sort, quicksort, heapsort, mergesort, shellsort, lower bounds, external sorting, sorting networks, sorting on mesh-connected processor arrays, sorting contest. Explanations are followed by source code.
Publisher: Wikibooks, 2010
This book shows how common algorithms are written in various programming languages, providing code implementations and explanation. Topics: Checksums; Date and time; Graphs; Hashing; Optimization; Search; Simulation; Sorting; String searching; etc.
4. Clever Algorithms: Nature-Inspired Programming Recipes
Author: Jason Brownlee
Publisher: Lulu.com, 2011
This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner.
5. Introduction to Design Analysis of Algorithms
Author: K. Raghava Rao
Publisher: Smashwords, 2013
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.
6. Problem Solving with Algorithms and Data Structures Using Python
Author: Brad Miller, David Ranum
Publisher: Franklin, Beedle & Associates, 2011
This textbook is designed as a text for a first course on data structures and algorithms, taught as the second course in the computer science curriculum. We cover abstract data types and data structures, writing algorithms, and solving problems.
Author: M. Crochemore, W. Rytter
Publisher: Oxford University Press, 1994
This book on the design of algorithms and data structures for text processing emphasizes both theoretical foundations and practical applications. It will serve both as a textbook for courses on algorithm design and as a reference for professionals.
8. Data Structures and Algorithm Analysis in Java
Author: Clifford A. Shaffer
Publisher: Dover Publications, 2012
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, explaining how to select the data structure best suited to specific problems. It uses Java programming language and is suitable for second-year courses.
9. Data Structures and Algorithm Analysis in C++
Author: Clifford A. Shaffer
A comprehensive treatment focusing on efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ programming language and is suitable for second-year courses.
10. Search Algorithms and Applications
Author: Nashat Mansour
Publisher: InTech, 2011
This book demonstrates the applicability of search algorithms for the purpose of developing solutions to problems that arise in a variety of domains. It is targeted to a wide group of readers: researchers, graduate students, and practitioners.
11. Algorithms and Data Structures: The Basic Toolbox
Author: K. Mehlhorn, P. Sanders
Publisher: Springer, 2008
This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, etc.
The writer is a senior correspondent at EFY, Gurgaon
