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The solver can also be used in a multi-host parallel mode on platforms that support MPI. Elmer's parallelisation capability is one of the strongest sides of this solver. Elmer's parallelisation capability is one of the strongest sides of this solver.
Object Oriented Finite EleMent solver, written in C++: Bořek Patzák: 2.5: 2017-12-30: GPL Version 2: Free: Unix, Windows: OpenSees: Open System for Earthquake Engineering Simulation: 3.3.0: 2021-05-24: Non Commercial: Free: Unix, Linux, Windows: SESAM (FEM) Software suite for structural and hydrodynamic analysis of ships and offshore ...
Given a transformation between input and output values, described by a mathematical function, optimization deals with generating and selecting the best solution from some set of available alternatives, by systematically choosing input values from within an allowed set, computing the output of the function and recording the best output values found during the process.
Convex Over and Under ENvelopes for Nonlinear Estimation (Couenne) is an open-source library for solving global optimization problems, also termed mixed integer nonlinear optimization problems. [1]
Intel launched the oneAPI Math Kernel Library in November 1994, and called it Intel BLAS Library. [9] In 1996, the library was renamed to Intel Math Kernel Library until April 2020, when intel oneMKL has become part of oneAPI initiative to support multiple hardware architectures, holding the current name Intel oneAPI Math Kernel Library.
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 ]
Being released in 1983, Xpress was the first commercial LP and MIP solver running on PCs. [4] In 1992, an Xpress version for parallel computing was published, which was extended to distributed computing five years later. [5] Xpress was the first MIP solver to cross the billion matrix non-zero threshold by introducing 64-bit indexing in 2010. [6]
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 .