Search Results for "gsl code::blocks"

The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions.

A computer code for simulation of electron-hydrogen scattering. Contains three (more or less) finished sub-programs: (a) “hex-ecs” which solves the Schrödinger equation in the B-spline basis, (b) “hex-dwba” which computes scattering variables for high energies using the distorted wave Born approximation of the first order and finally (c) “hex-db” which is a user interface to a plain SQLite database, where the intermediate results are being stored, and which is used to extract derived...

..., surge arresters, non-linear grounds, and lightning strokes. It efficiently calculates energy and charge duty on surge arresters, and iterates to find the critical lightning current causing flashover on one or more phases. It is also suitable for use in substation insulation coordination. Capacitor switching, TRV, and other applicaitons may be added. EPRI originally had permission to use code from the Numerical Recipes book in LPDW. These routines have been removed in favor of GSL.

This is the source code port of the Special Functions module from the GNU Scientific Library (GSL) to the .NET environment. The library includes implementation of the Airy functions, Bessel functions, Gamma related functions, etc.

mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X.