Mathematics Software

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  • 1
    This software draws a class of mathematical attractors.
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  • 2
    A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
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  • 3
    Linear Programming (LP) has been used in the case of the Federalist Papers whose authorship had been disputed. The task here will be to use the Cell Broadband Engine to do likewise with papers whose authorship is disputed.
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  • 4
    A collection of various automatic calculations provided in a handy Windows GUI format. New features added frequently.
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  • 5
    AutoGuider is an integrated environment for continuation and bifurcation analysis. Based on Auto2000, it is designed to be portable and easy to use/install. Features includes a project manager, support for MathML and SBML, and SVG export of graphics.
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  • 6

    Average

    Command-line calculator of basic statistics.

    Average is a simple and fast command-line Perl utility for calculating basic statistics on a list of numbers (one number per line). It works as a traditional Unix filter and can be used as part of those greatly useful chains of piped commands. It calculates average (arithmetic mean), standard deviation, median, total sum, minimum and maximum values present, and shows the number of processed numbers. Entry can by a text file (any column can be specified, default is the first) or directly in the terminal if Average is run without specifying a file -- in which case, input can be terminated by pressing Ctrl-D. It is possible to choose the output of a single statistic (just the value, no labels), instead of the fully detailed output (default).
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  • 7
    Project avmath implements a computational solution to the aviation wind triangle and is targeted towards learners that have completed pre-calculus and are headed for calculus.
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  • 8
    Aviation Tool v1.1
    Aviation Tool v1.1 is a free aviation unit converter. .Net Framework 2.0 is required! Convert units between: - Feet, Flight level, Angel, Meter, Hectometer - Nautical miles, Kilometer, Statute miles - Knots, Mach, Km/h - Hgmm, Hginch, millibar
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  • 9
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  • 10
    Awesome Math

    Awesome Math

    This is the Curriculum for "How to Learn Mathematics Fast"

    This repository is a curated roadmap for learning the core mathematics used in computer science, machine learning, and data science without getting lost in unnecessary detours. It organizes topics like algebra, calculus, linear algebra, probability, and statistics into a pragmatic sequence that favors intuition and problem-solving over purely formal proofs. The materials emphasize short, high-leverage resources—video lectures, concise notes, and hands-on exercises—that help you build momentum quickly. It also suggests checkpoints and practice ideas so you can test comprehension and move forward with confidence. The structure is useful both for newcomers who want a starting plan and for practitioners filling specific gaps before tackling ML or deep learning. Overall, it acts as a compact study plan that turns “learn math” from a vague goal into a concrete, achievable path.
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  • 11
    Some loop based random number generators in different languages.
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  • 12

    BACE for gretl

    Bayesian Averaging of Classical Estimates

    Bayesian Averaging of Classical Estimates package.
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  • 13
    This program minimizes boolean expressions. After combining minterms as far as possible, the program draws a chart of prime implicants which the user can easily read and manipulate to remove any remaining superfluous implicants.
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  • 14
    BASH antoniovandre_mathgame
    Um simples jogo de operações aritméticas escrito em BASH.
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  • 15
    A C++ library for Bayesian computation, including a collection of more generally-applicable utilities.
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  • 16
    BIL++
    BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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  • 17
    A fully customizable, extensible, scalable computational engine pluggable with various statistical and mathematical engines (R, Matlab, Octave, scilab...) The main focus and datatype considered is timeseries: the project contains also a portable and effi
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  • 18
    The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.
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  • 19

    BP (Bilinear Pairing)

    library for Bilinear Pairing

    A library encapsulating bilinear pairing computation and group computation in the cyclic groups G_1, G_2, G_T. The bilinear pairing is a bilinear, non-degenerate map between G_1 and G_2 to an element in G_T. The users can build complex pairing-based software by the Pairing library without much knowledge of elliptic curves or pairing or number theory. The library is smaller than 57 Kbytes, suitable for hand held devices. The size is only 3.7% of the size of the BPC library. Maximum supported group size is 911 bits. It is easy to compile the library for Android, ARM or x86 CPU. The API of the library is compatible with the PBC library. It is easy for the PBC library users to port their programs to this library, only with little modification.
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  • 20
    NOTE: This project was moved to: https://github.com/eetorres The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.
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  • 21
    BPKIT is a toolkit of block preconditioners for the iterative solution of sparse linear systems.
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  • 22
    BSP is the de facto standard node builder for the classic 3D shoot'em'up Doom.
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  • 23
    BSPonMPI is an implementation of the BSPlib standard on top of MPI. Both MPI and BSPlib are API's of communication routines meant for parallel computing, but BSPlib is easier to learn and its performance easier to predict.
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  • 24
    BSW_MATH
    This project uses PHP Code to programing mathematics and theoritical physics it begins with finding the roots of nonlinear equation and Lagrange interpolation we will develop it step by step you can also download it from http://bsw.benhascience.com
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  • 25
    BaNU generates adaptable naive Bayesian networks from a database. The generated knowledge can be exported as Notation3 rules. Another feature is the ability to link with ILP systems such as Toplog and Aleph to find premises for the adaptable NBN's.
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