BibSonomy bookmarks for /user/thorade/mathematics

Applied Mathematics and Computation

thorade — 2013-01-06T18:05:24+01:00

Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues. Please also visit the Electronic Service of Applied Mathematics and Computation at http://www.elsevier.com/locate/amc.

polynom: Macros for manipulating polynomials.

thorade — 2012-10-27T11:53:50+02:00

The polynom package implements macros for manipulating polynomials, for example it can typeset long polynomial divisions. The main test case and application is the polynomial ring in one variable with rational coefficients.

unicode-math: Unicode mathematics support for XeTeX and LuaTeX

thorade — 2012-08-08T17:47:40+02:00

The current release of this package typesets mathematics with unicode input and using OpenType maths fonts. (There is little compatibility with older maths packages.) XeTeX support is well tested, though LuaTeX support less so. The package can typeset using STIX fonts, the XITS development of those fonts, the Asana-Math fonts and the commercial Cambria Math fonts. There is no support yet for any extra alphabets in the Unicode ‘private use area'. The package relies on recent versions of the fontspec package and the l3kernel and l3packages bundles.

amsmath: AMS mathematical facilities for LaTeX

thorade — 2012-07-17T16:19:47+02:00

This package is the principal package in the AMS-LaTeX distribution. It adapts for use in LaTeX most of the mathematical features found in AMS-TeX; it is a near-indispensable adjunct to serious mathematical typesetting in LaTeX. When amsmath is loaded, AMS-LaTeX packages amsbsy (for bold symbols), amsopn (for operator names) and amstext (for text embdedded in mathematics) are also loaded. Amsmath is part of the LaTeX required distribution; however, several contributed packages add still further to its appeal; examples are empheq, which provides functions for decorating and highlighting mathematics, and ntheorem, for specifying theorem (and similar) definitions.

Zeitschrift für Angewandte Mathematik und Physik (ZAMP)

thorade — 2012-04-27T11:50:26+02:00

ZAMP was founded in 1950 and translates into "Journal of Applied Mathematics and Physics" Publishes peer-reviewed scientific papers and brief reports in Fluid Mechanics, Mechanics of Solids and Differential Equations/Applied Mathematics Coverage extends to original work in neighbouring domains The Journal of Applied Mathematics and Physics (ZAMP) publishes papers of high scientific quality in Fluid Mechanics, Mechanics of Solids and Differential Equations/Applied Mathematics. A paper will be considered for publication if at least one of the following conditions is fulfilled: The paper includes results or discussions which can be considered original and highly interesting. The paper presents a new method. The author reviews a problem or a class of problems with such profound insight that further research is encouraged. The readers of ZAMP will find not only articles in their own special field but also original work in neighbouring domains. This will lead to an exchange of ideas; concepts and methods which have proven to be successful in one field may well be useful to other areas. ZAMP attempts to publish articles reasonably quickly. Longer papers are published in the section "Original Papers", shorter ones may appear under "Brief Reports" where publication is particularly rapid. The journal includes a "Book Review" section and provides information on activities (such as upcoming symposia, meetings or special courses) which are of interest to its readers.

SymPy

thorade — 2012-03-19T15:55:39+01:00

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.

Online Curve Fitting and Surface Fitting at ZunZun.com

thorade — 2011-12-14T16:28:27+01:00

Here you can curve fit and surface fit your 2D and 3D data online with a rich set of error histograms, error plots, curve plots, surface plots, contour plots, VRML, auto-generated source code, and PDF file output. If you're looking for quality curve fitting and surface fitting, this is the site for you! Source code is available at the Google Code Repository. To begin, select an equation family from the drop-down menus above or try the "Function Finders" to help determine the best curve fit for your data.

GSL - GNU Scientific Library

thorade — 2011-11-01T16:48:02+01:00

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. It is free software under the GNU General Public License. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite. The complete range of subject areas covered by the library includes, Complex Numbers Roots of Polynomials Special Functions Vectors and Matrices Permutations Sorting BLAS Support Linear Algebra Eigensystems Fast Fourier Transforms Quadrature Random Numbers Quasi-Random Sequences Random Distributions Statistics Histograms N-Tuples Monte Carlo Integration Simulated Annealing Differential Equations Interpolation Numerical Differentiation Chebyshev Approximation Series Acceleration Discrete Hankel Transforms Root-Finding Minimization Least-Squares Fitting Physical Constants IEEE Floating-Point Discrete Wavelet Transforms Basis splines Unlike the licenses of proprietary numerical libraries the license of GSL does not restrict scientific cooperation. It allows you to share your programs freely with others.

Derivation of Thermodynamic Derivatives Using Jacobians :: Wolfram Demonstrations Project:

thorade — 2011-08-16T16:13:48+02:00

Rules from the book by M. Tribus are explored to deduce specified thermodynamic derivatives of the thermodynamical variables (energy , enthalpy , free energy of Helmholtz , free energy of Gibbs , entropy , temperature , pressure , and volume ) as functions of measurable quantities (temperature , pressure , volume , coefficient of thermal expansion , coefficient of compressibility , heat capacity at constant pressure , and heat capacity at constant volume ). Sometimes the entropy will remain outside the derivatives.

The Netlib collection of mathematical software, papers, and databases

thorade — 2011-08-09T15:45:14+02:00

Netlib is a collection of mathematical software, papers, and databases.

MathModelica by MathCore, a Wolfram Company

thorade — 2011-07-06T10:22:36+02:00

MathModelica makes it possible to develop advanced multi-engineering and life science models by simple drag & drop. MathModelica provides an environment for model based design, including support for modeling, simulation, analysis, and documentation.

MatJax - Beautiful math in all browsers

thorade — 2011-07-04T13:52:19+02:00

MathJax is an open source JavaScript display engine for mathematics that works in all modern browsers.

OpenOpt framework - universal numerical optimization package

thorade — 2011-04-18T13:33:31+02:00

We focus on scientific/engineering software development using RAD abilities of Python language, accompanied with free scientific libraries such as NumPy and SciPy. Our mainstream research activity is numerical optimization, including nonsmooth optimization and solving systems of nonlinear equations. OpenOpt framework - universal numerical optimization package with several own solvers (e.g. ralg) and connections to tens of other, graphical output of convergence and many other goodies FuncDesigner - tool to rapidly build functions over variables/arrays and get their derivatives via automatic differentiation. Also, you can perform integration, interpolation, solve systems of linear/nonlinear/ODE equations and numerical optimization problems coded in FuncDesigner by OpenOpt (see some examples in its doc), uncertainty analysis and interval analysis DerApproximator - tool to get (or check user-supplied) derivatives via finite-difference approximation SpaceFuncs - tool for 2D, 3D, N-dimensional geometric modeling with possibilities of parametrized calculations, numerical optimization and solving systems of geometrical equations

Python(x,y)

thorade — 2011-04-12T13:51:53+02:00

Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces, Eclipse integrated development environment and Spyder interactive scientific development environment.

SciPy

thorade — 2011-04-04T11:23:45+02:00

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

ggplot. had.co.nz

thorade — 2011-02-15T13:02:35+01:00

ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and none of the bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics.

gene expression programming with HSGEP

thorade — 2011-01-28T16:19:36+01:00

A couple of posts ago, I talked about a simple monte carlo simulation for diffusion limited aggregation. In this post, I’m going to talk about another algorithm that, at its heart, is based on random numbers. Unlike DLA though, this algorithm isn’t about simulating a physical system. Instead, it is about a method for solving optimization problems that are generally poorly suited to traditional numerical optimization techniques. This post describes an application of a library implementing the GEP method posed by Cândida Ferreira nearly 10 years ago. I started messing with GEP shortly after the paper “Gene Expression Programming: A New Adaptive Algorithm for Solving Problems” was published in the journal Complex Systems. The paper sat in a pile for a while, and about two years ago I picked it up again and started to implement it as a Haskell library.

The Trilinos Project

thorade — 2011-01-26T13:55:59+01:00

The Trilinos Project is an effort to develop algorithms and enabling technologies within an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific problems. A unique design feature of Trilinos is its focus on packages.

FreeMat

thorade — 2011-01-26T13:05:45+01:00

FreeMat is a free environment for rapid engineering and scientific prototyping and data processing. It is similar to commercial systems such as MATLAB from Mathworks, and IDL from Research Systems, but is Open Source. FreeMat is available under the GPL license.

RKWard

thorade — 2011-01-20T17:31:26+01:00

RKWard is meant to become an easy to use, transparent frontend to the R-language, a very powerful, yet hard-to-get-into scripting-language with a strong focus on statistic functions. It will not only provide a convenient user-interface, however, but also take care of seamless integration with an office-suite. Practical statistics is not just about calculating, after all, but also about documenting and ultimately publishing the results.