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FastHenry computes the frequency dependent self and mutual inductances and resistances between conductors of complex shape. The algorithm used in FastHenry is an acceleration of rge mesh formulation approach. The linear system resulting from the mesh formulation is solved using a generalized minimal residual algorithm with a fast multipole algorithm to efficiently compute the iterates. --------------------- Superconductivity Support ------------------------- This version of fasthenry has been modified to support superconducting segments and ground planes by Stephen R. Whiteley of Whitleley Research Inc. The analysis used is based on the London equations and the two-fluid model. Both reactive and lossy components of the superconductor complex conductivity are employed in obtaining the impedance matrix.

PsychoPy is an open-source package for creating psychology stimuli in Python (A real and free alternative to Matlab). PsychoPy combines the graphical strengths of OpenGL with the easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. The code is platform independent, using Python and C libraries that are widely available.

py-hcluster library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters * cutting linkages to generate flat clusters * and visualizing clusters with dendrograms. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C for efficiency.

QCL is a high level, architecture independent programming language for quantum computers, with a syntax derived from classical procedural languages like C or Pascal. This allows for the complete implementation and simulation of quantum algorithms (including classical components) in one consistent formalism.

Description: PAIDA is pure Python scientific analysis package and implements AIDA (Abstract Interfaces for Data Analysis). The main features are: - Pure Python! (so works on both Python and Jython) - Creating/Plotting the histogram, ntuple, profile and cloud - Fitting parameter optimization with constraints and its parabolic and asymmetric error evaluation - XML based storing

Pycdf is a python interface to the Unidata netCDF library. It provides an almost complete coverage of the netCDF C API, wrapping it inside easy to use python classes.

PyNN (pronounced 'pine') is a simulator-independent language for building neuronal network models.

SVMlight is an implementation of Vapnik's Support Vector Machine [Vapnik, 1995] for the problem of pattern recognition, for the problem of regression, and for the problem of learning a ranking function. The optimization algorithms used in SVMlight are described in [Joachims, 2002a ]. [Joachims, 1999a]. The algorithm has scalable memory requirements and can handle problems with many thousands of support vectors efficiently. The software also provides methods for assessing the generalization performance efficiently. It includes two efficient estimation methods for both error rate and precision/recall. XiAlpha-estimates [Joachims, 2002a, Joachims, 2000b] can be computed at essentially no computational expense, but they are conservatively biased. Almost unbiased estimates provides leave-one-out testing. SVMlight exploits that the results of most leave-one-outs (often more than 99%) are predetermined and need not be computed [Joachims, 2002a].

SIMLIB/C++ is the SIMulation LIBrary for C++ programming language. You can create models directly in C++ language with the use of predefined simulation tools from the library. SIMLIB allows object-oriented description of models based on simulation abstractions. Current version allows a description of continuous, discrete, combined, 2D/3D vector, and fuzzy models. SIMLIB/C++ is developed at the Department of Computer Science and Engineering, Faculty of Electrical Engineering and Computer Science, Brno University of Technology since 1991.

VMD is a molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting.