Algorithms for Programmers: Ideas and Source Code
by Jorg Arndt
Number of pages: 220
This is a draft of a book about selected algorithms. The audience in mind are programmers who are interested in the treated algorithms and actually want to create and understand working and reasonably optimized code.
Download or read it online for free here:
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 - Lulu.com
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.
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.