by M. Crochemore, W. Rytter
Publisher: Oxford University Press 1994
Number of pages: 412
This much-needed book on the design of algorithms and data structures for text processing emphasizes both theoretical foundations and practical applications. It is intended to serve both as a textbook for courses on algorithm design, especially those related to text processing, and as a reference for computer science professionals.
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by Jorg Arndt
Aimed to programmers who are interested in the selected algorithms and those who want to create optimized code. It covers low level algorithms, combinatorial generation, fast orthogonal transforms, fast arithmetic, and algorithms for finite fields.
Contents: Algorithm Complexity; Big-O Notation; Trees; Binary Search Trees; Graph; Dijkstra's Algorithm; A* Pathfinding; Dynamic Programming; Kruskal's Algorithm; Greedy Algorithms; Catalan Number; Sorting; Searching; Pascal's Triangle; etc.
by Ahmed Shamsul Arefin - Gyankosh Prokashoni
Textbook for an algorithm course focusing on programming as well as a programming course focusing on algorithms. The book is specially designed to train students to participate in competitions - the ACM International Collegiate Programming Contest.
by Jason Brownlee - GitHub
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.