Search Results for "flow based programming"

TX Library is a tiny graphics library for Win32 written in C++. It is a small sandbox for the very beginners to help them to learn basic programming principles. The documentation is currently in Russian. More info here: http://storage.ded32.net.ru/Lib/TX/TXUpdate/Doc/HTML.ru, http://ded32.net.ru/news/2011-04-03-58, http://ded32.net.ru.

Aleph-w is a library of data structures and algorithms implemented in and for C++. It contains the main data structures: single and double lists, special arrays (dynamic and of bits), many types of trees: multitrees, binary search trees, avl, red-black, randomized, treaps, splay and other interesting types. Several types of hash tables are implemented: separated chaining, open adressing with linear probing and double function hash; this last one has a garbage colector mechanism that...

...The source is written in literate programming NoWeb.

...Because of a high-level schematic-description language -- in form of provided Scilab commands -- only a minimal implementation-effort (no error-prone C-programming) is required.

fPotencia is the fruit of free time and passion for power systems simulation. After observing the lack of ready-to-implement libraries for power system analisys, and that the existing ones focus on command line workflow, I decided myself to start a project to fill the gap. Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base...

acl_cpp(which has been included in acl project: https://sourceforge.net/projects/acl/ , please download it from acl project url) is a c++ wrap library for acl, and acl_cpp has many more useful functions than acl, such as streaming mime parsing, handler socket supporting, and db(mysql and sqlite) pool interface, HttpServlet, etc. With acl_cpp, you'll get more powerfull acl functions, and the quickly development, module programming, good luck!

...It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary questions given the provided evidence and can even cope with multimodal densities. The library supports the most common types of densities and conditional densities, like uniform or normal densities and facilitates user defined density functions. To enable easy use the library is taking account of modern development techniques like policy based design and template programming. ...