Search Results for "version 2"

These are two C++ libraries for symbolic, numeric and graphical manipulations in non-Euclidean geometry. There is GUI which allows to interact with these libraries by mouse clicks. On a dipper level the first library Cycle implements basic operations on cycles (quadrics) through FSCc construction. The second library Figure operates on ensembles of cycles connected by Moebius-invariant relations, e.g. orthogonality. Both libraries are based on the Clifford algebra capacities of the...

Radial++ is a C++ template library for scattered data interpolation in any dimension and also the numerical solution of partial differential equations. It provides generalized Radial Basis Functions (p.e. multiquadric, this-plate spline, etc).

Minimalistic NCL (nested context language) implementation.

The application was designed for the real time contactless photoplethysmography of the human face by means of an ordinary webcam in ambient light environment System requirements: - AMD or Intel CPU with 2 cores and 2.6 GHz clock speed (or higher); - 512 Mb of RAM (or higher); - OS Microsoft Windows 10/8/7/XP, booth 32 and 64 bit versions; - A RGB webcam (Logitech B910 is the best choice).

Simple POSIX multithread Ant Colony Optimizer framework currently for solving Vehicle Routing Problem. Supports UDP, file synchronizatoin between computers.

DASS-GUI is a graphical user interface for pattern search in non-sequential data.

Vijner 974 E-Sys (2048 bits and unlimited encryption). Enables easy (un-)encryption from text input or .txt file, and to (un-)encrypt raw files, with Vigenère Algorithm + unlimited encryption keys. Simple and powerful. Adapt to fit your needs.

This project aims to build a portable pure C++ framework for GPGPU operations. It is conceived to ease scientific researches that need to speed up algebric and calculus operations on normal hardware, without the need of graphic programming knowledge.

Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other