Search Results for "table"

I was curious how much better the Algorithms, pointed out by BitTwiddling Hacks, perform than a simple Lookup Table approach... Now I think, perhaps my little investigation is interesting for others too... PS: the parallel counting Algo is about 35% faster on average on my computers than a simple LUT based solution. Also this shows nicely how different a human brain compatible solution is to a binary machine optimal solution :-) In the meantime I added other Algorithms beside countbisset (hamming weight): ceil(log2()) + floor(log2()), bitreverse, ... ...

B-tree with a twist pointer set. The ordered set approaches the speed of the fastest unordered, hash table based sets, while using several times less memory.

Moved to GitHub https://github.com/fedups Algebraic equation processing at run time for Java programs. Supports variables, functions with parameters, rate table lookups, an embedded "if" function... Infinitely extensible, very small footprint.

...This program is intended for practical digital devices constructors as well as formal scholars and academics. Features: - You can minimize up to 16 input variables and up to 16 output variables. - You can also reduce the number of table rows. - It allows you to name the input and output variables. - The table can be exported to HTML file and then you can use it in e.g. MS Word. - This program provides a comfortable interface, you can change fonts and colors. - It works on MS Windows, GNU/Linux, Mac OS.

This is a hash table, implemented in C, supporting constant-time add/find/remove of C structures. Any structure having a unique, arbitrarily-typed key member can be hashed by adding a UT_hash_handle member to the structure and calling these macros.

the c prototyping tools library provides thread-safe linked list, priority queue, hash table, hash list, AVL tree and trie implementations, as well as a thread pool and thread management framework, a tcp and http socket api, and a dbms abstraction layer.

distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.