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] SuanShu has been quoted and used in a number of academic works.[3][4][5][6]
The following code shows the object-oriented design of the library (in contrast to the traditional procedural design of many other FORTRAN and C numerical libraries) by a simple example of minimization.
LogGammalogGamma=newLogGamma();// the log-gamma functionBracketSearchMinimizersolver=newBrentMinimizer(1e-8,10);// precision, max number of iterationsUnivariateMinimizer.Solutionsoln=solver.solve(logGamma);// optimizationdoublex_min=soln.search(0,5);// bracket = [0, 5]System.out.println(String.format("f(%f) = %f",x_min,logGamma.evaluate(x_min)));
See alsoedit
SOCP - Explanation of Second Order Conic Programming
^"Fastest Java Matrix Multiplication | NM DEV". NM DEV | Mathematics at Your Fingertips. 2015-08-07. Retrieved 2021-08-02.
^Möhlmann, Eike (2018). Automatic stability verification via Lyapunov functions: representations, transformations, and practical issues (phd thesis). Universität Oldenburg.
^Christou, Ioannis T.; Vassilaras, Spyridon (2013-10-01). "A parallel hybrid greedy branch and bound scheme for the maximum distance-2 matching problem". Computers & Operations Research. 40 (10): 2387–2397. doi:10.1016/j.cor.2013.04.009. ISSN 0305-0548.
^Łukawska, Barbara; Łukawski, Grzegorz; Sapiecha, Krzysztof (2016-10-04). "An implementation of articial advisor for dynamic classication of objects". Annales Universitatis Mariae Curie-Sklodowska, sectio AI – Informatica. 16 (1): 40. doi:10.17951/ai.2016.16.1.40. ISSN 2083-3628.
^Ansari, Mohd Samar (2013-09-03). Non-Linear Feedback Neural Networks: VLSI Implementations and Applications. Springer. ISBN978-81-322-1563-9.
December 20, 2023
suanshu, numerical, library, suanshu, java, math, library, open, source, under, apache, license, available, github, suanshu, large, collection, java, classes, basic, numerical, analysis, statistics, optimization, implements, parallel, version, adaptive, strass. 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 SuanShu has been quoted and used in a number of academic works 3 4 5 6 SuanShuStable release20120606 2012 06 06Written inJavaTypeMathLicenseApache License 2 0Websitegithub wbr com wbr nmltd wbr SuanShu Contents 1 Features 2 License terms 3 Examples of usage 4 See also 5 ReferencesFeatures editlinear algebra root finding curve fitting and interpolation unconstrained and constrained optimization statistical analysis linear regression probability distributions and random number generation ordinary and partial differential equation solversLicense terms editSuanShu is released under the terms of the Apache License 2 0Examples of usage editThe following code shows the object oriented design of the library in contrast to the traditional procedural design of many other FORTRAN and C numerical libraries by a simple example of minimization LogGamma logGamma new LogGamma the log gamma function BracketSearchMinimizer solver new BrentMinimizer 1e 8 10 precision max number of iterations UnivariateMinimizer Solution soln solver solve logGamma optimization double x min soln search 0 5 bracket 0 5 System out println String format f f f x min logGamma evaluate x min See also editSOCP Explanation of Second Order Conic Programming SDP Explanation of Semidefinite Programming SQP Explanation of Sequential quadratic programming Interior Point Method Adaptive strassen s algorithm fast matrix multiplication Apache License 2 0 Version 2 of the Apache Software LicenseReferences edit Java Numerics Main math nist gov Retrieved 2021 03 23 Fastest Java Matrix Multiplication NM DEV NM DEV Mathematics at Your Fingertips 2015 08 07 Retrieved 2021 08 02 Mohlmann Eike 2018 Automatic stability verification via Lyapunov functions representations transformations and practical issues phd thesis Universitat Oldenburg Christou Ioannis T Vassilaras Spyridon 2013 10 01 A parallel hybrid greedy branch and bound scheme for the maximum distance 2 matching problem Computers amp Operations Research 40 10 2387 2397 doi 10 1016 j cor 2013 04 009 ISSN 0305 0548 Lukawska Barbara Lukawski Grzegorz Sapiecha Krzysztof 2016 10 04 An implementation of articial advisor for dynamic classication of objects Annales Universitatis Mariae Curie Sklodowska sectio AI Informatica 16 1 40 doi 10 17951 ai 2016 16 1 40 ISSN 2083 3628 Ansari Mohd Samar 2013 09 03 Non Linear Feedback Neural Networks VLSI Implementations and Applications Springer ISBN 978 81 322 1563 9 Retrieved from https en wikipedia org w index php title SuanShu numerical library amp oldid 1167734098, wikipedia, wiki, book, books, library,
