Open Source Cygwin Research Software

OpenAxiom is an open source Computer Algebra System. It offers an interactive environment, an expressive programming language, a compiler, a large set of mathematical libraries of interest to researchers and practitioners of computational sciences.

This is a compilation of applications that have been made into one package, all of the programs included have been created by me, i have included a few simple law calculators at the moment, but will add more throughout updates. The current build includes: • Leyden Jar Capacitance Calculator • Resistor Colo(u)r Coder And more!

Implementation of algorithm from paper 'Numerical Approximation of Option Premia in Displaced-Lognormal Heston Models' by A Dickinson. For code: click link under 'Develop' & checkout via svn or click link under Browse Code->SVN & download tarball

These are the implementation of various parallel algorithms like Symmemtric division for sum and maximum, Optimal sum using parallel algorithms, List ranking, Tree contraction, Matrix vector multiplication, Counting the number of vowels, consonants, digits, Matrix transpose, Block based matrix multiplication, the project folder has 4 implemenations of Matrix Multiplication algorithms, one simple muliplication, Transpose based multiplication, Strip based matrix mulitiplication

Framework to help researchers test their discovery algorithms. Microsoft visual studio 2008 with c# and SQL Server were used on windows based workstation. Prototype developed is called WSDis, which stands for Web Services Discovery. WSDis provides Two main menus and two buttons at the main form. Figure 10 shows the main form of WSDis. Button IMPORT imports WSDL files and retrieving their details. Button REGISTER registers acceptable web services. Acceptable web service description files are WSDL standard format and their documentation section is not empty.

MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.

Matlab code for the novel algorithms presented in the paper Convex formulation for radius-margin based Support Vector Machines