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  2. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    ML.NET is a free software machine learning library for the C# programming language. [3] [4] The NAG Library has C# API. Commercially licensed. NMath by CenterSpace Software: Commercial numerical component libraries for the .NET platform, including signal processing (FFT) classes, a linear algebra (LAPACK & BLAS) framework, and a statistics package.

  3. Comparison of optimization software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_optimization...

    C# 5.3 / May 2013 No Yes Proprietary C# numerical library built on top of MKL. Octeract Engine: C++/Python 0.11.29 / November 2019 No Yes Commercial Supercomputing deterministic global optimization solver for general MINLP problems. Octeract Engine uses MPI for distributed calculations. OptaPlanner Java 8.0.0.Final / November 2020 Yes Yes

  4. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    The SciPy scientific library, for instance, uses HiGHS as its LP solver [13] from release 1.6.0 [14] and the HiGHS MIP solver for discrete optimization from release 1.9.0. [15] As well as offering an interface to HiGHS, the JuMP modelling language for Julia [ 16 ] also describes the specific use of HiGHS in its user documentation. [ 17 ]

  5. Artelys Knitro - Wikipedia

    en.wikipedia.org/wiki/Artelys_Knitro

    Knitro offers four different optimization algorithms for solving optimization problems. [1] Two algorithms are of the interior point type, and two are of the active set type. . These algorithms are known to have fundamentally different characteristics; for example, interior point methods follow a path through the interior of the feasible region while active set methods tend to stay at the boundari

  6. Cassowary (software) - Wikipedia

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

    Cassowary is an incremental constraint-solving toolkit that efficiently solves systems of linear equalities and inequalities. Constraints may be either requirements or preferences. Client code specifies the constraints to be maintained, and the solver updates the constrained variables to have values that satisfy the constraints.

  7. List of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical-analysis...

    [1] [2] [3] It comes with its own programming language, in which numerical algorithms can be implemented. GNU MCSim a simulation and numerical integration package, with fast Monte Carlo and Markov chain Monte Carlo capabilities. ML.NET is a free-software machine-learning library for the C# programming language. [4] [5]

  8. Z3 Theorem Prover - Wikipedia

    en.wikipedia.org/wiki/Z3_Theorem_Prover

    The solver can be built using Visual Studio, a makefile or using CMake and runs on Windows, FreeBSD, Linux, and macOS. The default input format for Z3 is SMTLIB2. It also has officially supported bindings for several programming languages, including C, C++, Python, .NET, Java, and OCaml. [5]

  9. MOSEK - Wikipedia

    en.wikipedia.org/wiki/MOSEK

    [1] [2] [3] In addition to the interior-point optimizer MOSEK includes: Primal and dual simplex optimizer for linear problems. Mixed-integer optimizer for linear, quadratic and conic problems. In version 9, Mosek introduced support for exponential and power cones [4] in its solver. It has interfaces [5] to the C, C#, Java, MATLAB, Python and R ...