13 projects tagged "Algorithms"
nedtries is a portable in-place bitwise binary Fredkin trie algorithm that allows for near constant time insertions, deletions, finds, closest fit finds, and iteration. It is approximately 50-100% faster than red-black trees and up to 20% faster than O(1) hash tables. It provides implementations as C macros, C++ templates, and as a C++ STL compatible associative container.
Algorithm Study provides tools and resources to augment the traditional study of algorithms. It includes implementations of common and less-common algorithms in a variety of languages and visualization tools to help in gaining a deeper understanding of the algorithms. The algorithm implementations are each accompanied by a discussion of the asymptotic ("big O") run time and memory limits of the algorithm. Some implementations include discussion of how the algorithm or data structure is commonly used and comparisons with similar algorithms or data structures. All implementations have test cases that exercise their functionality. The visualization tool, Algorithm Visualizer, displays what happens as various algorithms do their work.
php mudnames is a PHP class that can generate random names for characters used in role playing games such as multi-user dungeon (MUD) games. Although the names do not mean anything, they sound very much like typical names of characters that you often see in this kind of game. It can retrieve text data from one of several dictionary files. The dictionary data is used to generate random names based on selected capabilities and used particles.
JRainbow is a program that generates Rainbow tables for the MD5 and SHA-1 hash algorithms. These tables then can be used for a Rainbow attack to retrieve hashed passwords. Up to 8 digit password rainbow tables are supported. The tables use a textual format. Six variations of alphanumeric and special character sets are supported. You can choose how many times to hash the input before storing it in the table.
BS is a data structures library. It features fixed size, random access sequences. The sequences are constructed over B-trees. Complexity for most single item operations is about O(logN). The sequences are three to five times faster over random access BST-based sequences, while having better memory usage characteristics.