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  2. SuanShu numerical library - Wikipedia

    en.wikipedia.org/wiki/SuanShu_numerical_library

    SuanShu is a Java math library. It is open-source under Apache License 2.0 available in GitHub. SuanShu is a large collection of Java classes for basic numerical analysis, statistics, and optimization. [1] It implements a parallel version of the adaptive strassen's algorithm for fast matrix multiplication. [2]

  3. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    Matrix Toolkit Java is a linear algebra library based on BLAS and LAPACK. ojAlgo is an open source Java library for mathematics, linear algebra and optimisation. exp4j is a small Java library for evaluation of mathematical expressions. SuanShu is an open-source Java math library. It supports numerical analysis, statistics and optimization.

  4. Jblas: Linear Algebra for Java - Wikipedia

    en.wikipedia.org/wiki/Jblas:_Linear_Algebra_for_Java

    jblas is a linear algebra library, created by Mikio Braun, for the Java programming language built upon BLAS and LAPACK. Unlike most other Java linear algebra libraries, jblas is designed to be used with native code through the Java Native Interface and comes with precompiled binaries. When used on one of the targeted architectures, it will ...

  5. List of open-source software for mathematics - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    In 1998, Schelter obtained permission to release Maxima as open-source software under the GNU General Public license and the source code was released later that year. Since his death in 2001, a group of Maxima enthusiasts have continued to provide technical support.

  6. ALGLIB - Wikipedia

    en.wikipedia.org/wiki/ALGLIB

    It can be used from several programming languages (C++, C#, VB.NET, Python, Delphi, Java). ALGLIB started in 1999 and has a long history of steady development with roughly 1-3 releases per year. It is used by several open-source projects, commercial libraries, and applications (e.g. TOL project, Math.NET Numerics, [1] [2] SpaceClaim [3]).

  7. Fast inverse square root - Wikipedia

    en.wikipedia.org/wiki/Fast_inverse_square_root

    Lighting and reflection calculations, as in the video game OpenArena, use the fast inverse square root code to compute angles of incidence and reflection.. Fast inverse square root, sometimes referred to as Fast InvSqrt() or by the hexadecimal constant 0x5F3759DF, is an algorithm that estimates , the reciprocal (or multiplicative inverse) of the square root of a 32-bit floating-point number in ...

  8. List of arbitrary-precision arithmetic software - Wikipedia

    en.wikipedia.org/wiki/List_of_arbitrary...

    Java: Class java.math.BigInteger (integer), java.math.BigDecimal Class (decimal) JavaScript: as of ES2020, BigInt is supported in most browsers; [2] the gwt-math library provides an interface to java.math.BigDecimal, and libraries such as DecimalJS, BigInt and Crunch support arbitrary-precision integers.

  9. Maple (software) - Wikipedia

    en.wikipedia.org/wiki/Maple_(software)

    The Java interface was criticized for being slow; [11] improvements have been made in later versions, although the Maple 11 documentation [12] recommends the previous ("classic") interface for users with less than 500 MB of physical memory. Between 1995 and 2005 Maple lost significant market share to competitors due to a weaker user interface. [13]