Matters Computational: Ideas, Algorithms, Source Code
by Joerg Arndt
Number of pages: 972
This is a book for the computationalist, whether a working programmer or anyone interested in methods of computation. The focus is on material that does not usually appear in textbooks on algorithms. We use the C++ programming language for low-level algorithms.
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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.
by M. Crochemore, W. Rytter - Oxford University Press
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.
by Thomas Niemann
Collection of algorithms for sorting and searching, and techniques for implementing dictionaries, with brief and intuitive descriptions. It is assumed that you know C, and that you are familiar with concepts such as arrays and pointers.
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.