Open Source Desktop Operating Systems Libraries

Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.

Libcutils provides a self-contained set of fundamental routines which are essential to basically any Unix utility or daemon application written in C. The library provides fundamental data structures such as lists, hash-maps, strings and parsing functions for JSON or the typical dot-file based configuration data. The following list summarizes the currently supported functionality: * length delimited instead of NULL terminated strings * memory management based on reference counting * several list processing functions like iterators and map-reduce * support of [Ideal Hash Tries](http://infoscience.epfl.ch/record/64398/files/idealhashtrees.pdf) for highly efficient hash map data structures * parsers for [JSON](http://json.org) data and the text configuration files found in Unix system * doubly linked circular lists for reliable event queues * support for test and debugging of memory management problems such as memory leaks

This STL-like C++ library contains classes for long integer numbers processing with using of assembler functions as a backend. Lazy evaluation is also used for optimization. It also contains generic implementation of classical number-theory algorithms.

This program aims to check and gain a inner point from multiple set of linear constraints. This software works better in the case that range of variables are known and parameters are configured so. C++ and Eigen library needed, and to calculate more accurate, we may need mpfr++ library or, QD library. Freezed.

Struct-Pie (Structures Pie) is a set of C shared libraries to implement data structures and algorithms so that they can be used/integrated easily into C projects. LIFO & FIFO Stack, Binary Search Tree, Priority Queue and a Hash Table are implemented and included in this package. Future releases will have many other data structures. The hash table in this package uses separate chaining to avoid collision. In the "hash_table" directory, the hash table implementation uses linked lists. While in "HashBSTree" directory, a hash table with a binary tree in each index is implemented for faster lookup in large data. The stack, the tree and the hash table accept int, float and char* data type To look at the python library : https://github.com/mnoorfawi/struct-pie