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MAED is a simple but powerfull math program with educational character.
It has a Lisp like programming language, a nice GUI. It can work in client-server mode.
A main goal is to make a program which can solve math problems using both numerical and symb
*** This page is no longer used by the Dasher project - please see http://www.inference.phy.cam.ac.uk/dasher/ *** Dasher is a data entry interface incorporating language modelling and driven by continuous two-dimensional gestures, e.g. a mouse, a stylus
PGL is a C++/MFC/VC6 plot library. It is designed to plot lines, height map, vector fields, etc. Fully OOP. It comes as a DLL that is added to any existing MFC project.
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This is a SQL interface for scilab. It will enable users of scilab to do queries to a sql database and get the results in a normal scilab array.
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<a href="http://www-rocq.inria.fr/scilab/"'>Scilab homepage</a>
Linear algebra C++ library built upon a tensor class template that can be used to represent tensors of ranks 0 - scalaras, 1 - vectors, 2 - matrices, 3 - tensors of rank 3, etc. It also includes an interface to BLAS and LAPACK subroutines.
This project aims to develop open source psychometric data analysis software, including estimation software for Rasch and Item Response
Theory (IRT) models for both dichotomous and polytomous test items.
SINFG is a resolution-independent image manipulation package, which allows you to create a wide variety of compositions including, but not limited to, fractals and vector images.
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Ruby scripts grow 3D fractals and render them with PovRay, OpenInventor and YASRT. Includes (rough) ports of Lauren Lapre's LPARSER to GNU C++. Includes a RubyTk "sketch" output for quick previews as you edit a script.
The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.
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
Dasema is a compact C++ library for interpreting mathematical formula and applying them to data points/sets. It supports multiple variables and comes with a tool for benchmarking, a C++ GNU-like frontend as proof-of-consept and SWIG interface to Python.