FastCap computes self and mutual capacitances between ideal
conductors of arbitrary shapes, orientations and sizes.
The conductors can be embedded in a dielectric region composed
of any number of constant-permittivity regions of any shape and
size.
The algorithm used in FastCap is an acceleration of the
boundary-element technique for solving the integral equation
associated with the multiple-conductor, multiple-dielectric
capacitance extraction problem. The linear system resulting
from the boundary-element discretization is solved using a
generalized conjugate residual algorithm with a fast multipole
algorithm to efficiently compute the iterates.
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This version of fastcap has been cleaned up and enhanced by Stephen R.
Whiteley of Whitleley Research Inc.
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Ghemical is a computational chemistry software package,
Ghemical relies on external code to provide the quantum-mechanical
calculations. Semi-empirical methods MNDO, MINDO/3, AM1 and PM3 come
from the MOPAC7 package, and are included in the source distribution.
The MPQC package (GNU GPL) is used to provide ab initio methods.
The General Hidden Markov Model Library (GHMM) is a C library
with additional Python bindings implementing a wide range of
types of Hidden Markov Models and algorithms:
discrete, continous emissions, basic training,
HMM clustering, HMM mixtures.
GTAMS Analyzer is a complete coding and analysis package. It is a "port" of
TAMS Analyzer for Macintosh OS X. Note, at some point the two projects will
have identical file formats, at which point the initial G (for GNUstep)
will be dropped. GTAMS stands for GNUstep Text Analysis Markup System, it
is a convention for identifying themes in text. The software offers a wide
range of tools for applying themes to texts and identifying patterns of
themes within and between texts.
LICENSE: GPL2
Gwyddion is a modular SPM (Scanning Probe Microsopy) data visualization
and analysis tool written with Gtk+.
It can be used for all most frequently used data processing operations
including: leveling, false color plotting, shading, filtering,
denoising, data editing, integral transforms, grain analysis, profile
extraction, fractal analysis, and many more. The program is primarily
focused on SPM data analysis (e.g. data obtained from AFM, STM, NSOM,
and similar microscopes). However, it can also be used for analysis of
SEM (Scanning Electron Microscopy) data or any other 2D data.
ISAAC (Integrated Solution Algorithm for Arbitrary Configurations) is a
compressible Euler/Navier-Stokes computational fluid dynamics code. ISAAC
includes the capability of calculating the Euler equations for inviscid
flow or the Navier-Stokes equations for viscous flows. ISAAC uses a domain
decomposition structure to accomodate complex physical configurations.
ISAAC can calculate either steady-state or time dependent flow.
ISAAC was designed to test turbulence models. Various two equation
turbulence models, explicit algebraic Reynolds stress models, and full
differential Reynolds stress models are implemented in ISAAC. Several test
cases are documented in the User's Guide.
HDF4 (originally known as HDF) is file format for storing scientific data
and a software library that provides high-level APIs and a low-level data
access interface.
HDF technologies at present include two data management formats (HDF4 and
HDF5) and libraries, a modular data browser/editor, associated tools and
utilities, and a conversion library. Both HDF4 and HDF5 were designed to
be a general scientific format, adaptable to virtually any scientific or
engineering application, and also have been used successfully in non-
technical areas. The Open Source format is a key technological foundation
for HDF core technologies. It allows users to collaborate with The HDF
Group regarding functionality requirements and permits users' experience
and knowledge to be incorporated into the HDF product when appropriate.
It also permits users and organizations without adequate technology
resources to use a sophisticated and robust data management tool for no
charge.
libghemical is a support library packages for biology/ghemical
Libint is a library for evaluating ERI (electron replusion integral)
over Cartesian Gaussian fuctions for modern atomic and molecular theory;
esp. for science/mpqc and science/psi3.
LIBLINEAR is a linear classifier for data with millions of instances and
features. It supports L2-regularized classifiers (L2-loss linear SVM,
L1-loss linear SVM, and logistic regression), L1-regularized classifiers
(L2-loss linear SVM and logistic regression).
Main features of LIBLINEAR include
- Same data format as LIBSVM and similar usage
- One-vs-the rest and Crammer & Singer multi-class classification
- Cross validation for model selection
- Probability estimates (logistic regression only)
- Weights for unbalanced data