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The purpose of lamprop is to calculate some properties of fiber-reinforced composite laminates. It calculates - engineering properties like Ex, Ey, Gxy - thermal properties CTE_x and CTE_y - physical properties like density and laminate thickness - stiffness and compliance matrices (ABD and abd)

epte is a curses-based periodic table of the elements. It provides a set of examples of the basic sets of constants and procedures needed to understand the behavior of matter.

Kst is a fast real-time large-dataset viewing and plotting tool with basic data analysis functionality. Kst contains many powerful built-in features and is expandable with plugins and extensions. Features of Kst include: - Robust plotting of live "streaming" data. - Powerful keyboard and mouse plot manipulation. - Large selection of built-in plotting and data manipulation functions, such as histograms, equations, and power spectra. - Color mapping and contour mapping capabilities for three-dimensional data, as well as matrix and image support. - Monitoring of events and notifications support. - Built-in filtering and curve fitting capabilities. - Convenient command-line interface. - Powerful graphical user interface. - Support for several popular data formats. - Extended annotation objects similar to vector graphics applications. This port provide Kst 2, which is based on Qt4. It still lacks scripting support and backward compatibility with Kst 1.x series (you can't open kst-1 files in Kst 2).

Scientific software for performing large computations is typically managed using textual control files that specify the parameters of the computation. Historically, these control files have typically consisted of long, inflexible collections of numbers whose meaning and format is hard-coded into the program. With libctl, we make it easy for programmers to support a greatly superior control file structure, and with less effort than was required for traditional input formats. The "ctl" in "libctl" stands for Control Language (by convention, libctl control files end with ".ctl" and are referred to as ctl files). Thus, libctl is the Control Language Library (where the "lib" prefix follows the Unix idiom).

This is Google's reference implementation of OGC KML 2.2. It also includes implementations of Google's gx: extensions used by Google Earth, as well as several utility libraries for working with other formats.

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

This slave port adds Python interface to LIBSVM.

libquantum is a C library for the simulation of quantum mechanics, with a special focus laid to quantum computing. It started as a pure quantum computer simulator, but support for general quantum simulation has been recently added.

LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-type algorithm proposed in this paper: R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include * Different SVM formulations * Efficient multi-class classification * Cross validation for model selection * Probability estimates * Weighted SVM for unbalanced data * Both C++ and Java sources * GUI demonstrating SVM classification and regression * Python, R (also Splus), MATLAB, Perl, Ruby, Weka, Common LISP and LabVIEW interfaces. C# .NET code is available. It's also included in some learning environments: YALE and PCP. * Automatic model selection which can generate contour of cross valiation accuracy.

Libxc is library of exchange-correlation functionals for density-functional theory. The aim is to provide a portable, well tested and reliable set of exchange and correlation functionals that can be used by all the ETSF codes and also other codes. In libxc you can find different types of functionals: LDA, GGA, hybrids, and mGGA (experimental).