Ports Search

Results 351360 of 792 for /math/.(0.003 seconds)
math/levmar-2.6 (Score: 0.10508093)
GPL-licensed library implementing the Levenberg-Marquardt algorithm
levmar is a GPL-licensed library written in C, that implements the Levenberg-Marquardt (LM) optimization algorithm, one of the most effective methods for solving nonlinear least squares problems.
math/kalgebra-4.14.3 (Score: 0.10508093)
KDE graph calculator
KAlgebra is a mathematical calculator based on content markup MathML language, capable to make simple MathML operations (arithmetic and logical) and to representate 2D and 3D graphs.
math/gretl-1.9.13 (Score: 0.10508093)
GNU Regression, Econometrics, and Time-series Library
GNU Regression, Econometrics and Time-series Library Features - A wide variety of least-squares-based estimators (including two-stage least squares). - Easy, intuitive interface. - Single commands to launch things like augmented Dickey-Fuller test, Chow test for structural stability, Vector Autoregression. - Reads own format ascii data files, Comma Separated Values files, BOX1 files, own format binary databases (allowing mixed data frequencies and series lengths) and RATS 4 databases. Includes a US macro database and a perl script to create a database off economagic.com. See also the gretl data page. - Output models as LaTeX files, in tabular or equation format (not very flexible yet). - Integrated scripting language: enter commands either via the gui or via scripts. - Command loop structure for Monte Carlo simulations. - GUI controller for fine-tuning Gnuplot graphs. - Link to GNU R for further data analysis.
math/gri-2.12.23 (Score: 0.10508093)
Extensible plotting language for producing scientific graphs
Gri is a language for scientific graphics applications. By 'language' I mean that it is a command-driven application, as opposed to a click/point application. It is analogous to latex or tex, and shares the property that extensive power is the reward for tolerating a modest learning curve. Gri output is in industry-standard PostScript, suitable for incorporation in documents prepared by various text processors. Gri can make x-y graphs, contour-graphs, and image graphs. In addition to high-level capabilities, it has enough low-level capabilities to allow users to achieve a high degree of customization. Precise control is extended to all aspects of drawing, including line-widths, colors, and fonts. Text includes a subset of the tex language, so that it is easy to incorporate Greek letters and mathematical symbols in labels.
math/gringo-4.5.2 (Score: 0.10508093)
Grounding algorithm based on semi-naive database evaluation
Current answer set solvers work on variable-free programs. Hence, a grounder is needed that, given an input program with first-order variables, computes an equivalent ground (variable-free) program. Gringo is such a grounder. Its output can be processed further with clasp.
math/gsl-1.16 (Score: 0.10508093)
The GNU Scientific Library - mathematical libs
The GNU Scientific Library (GSL) is a collection of routines for numerical computing. The routines are written from scratch by the GSL team in ANSI C, and are meant to present a modern Applications Programming Interface (API) for C programmers, while allowing wrappers to be written for very high level languages.
math/hexcalc-1.11 (Score: 0.10508093)
Multi-radix calculator for x11
hexcalc is a multi-radix calculator for integers. It understands decimal, hexadecimal, octal and binary numbers.
math/hfst-3.8.2 (Score: 0.10508093)
A toolkit for for processing natural language morphologies
The Helsinki Finite-State Transducer toolkit is intended for processing natural language morphologies. The toolkit is demonstrated by wide-coverage implementations of a number of languages of varying morphological complexity.
math/Agda-stdlib-0.9 (Score: 0.10508093)
Agda standard library
The Agda standard library.
math/statistics-0.13.2.3 (Score: 0.10508093)
Library of statistical types, data, and functions
This library provides a number of common functions and types useful in statistics. We focus on high performance, numerical robustness, and use of good algorithms. Where possible, we provide references to the statistical literature. The library's facilities can be divided into four broad categories: * Working with widely used discrete and continuous probability distributions. (There are dozens of exotic distributions in use; we focus on the most common.) * Computing with sample data: quantile estimation, kernel density estimation, histograms, bootstrap methods, significance testing, and autocorrelation analysis. * Random variate generation under several different distributions. * Common statistical tests for significant differences between samples.