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.
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.