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 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.
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 H. W. Lang - FH Flensburg
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.
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.