Search results
Results from the WOW.Com Content Network
TK Solver's core technologies are a declarative programming language, algebraic equation solver, [1] an iterative equation solver, and a structured, object-based interface, using a command structure. [ 1 ] [ 7 ] The interface comprises nine classes of objects that can be shared between and merged into other TK files:
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 ...
The format was named after an early IBM LP product [1] and has emerged as a de facto standard ASCII medium among most of the commercial LP solvers. Essentially all commercial LP solvers accept this format, and it is also accepted by the open-source COIN-OR system. Other software may require a customized reader routine in order to read MPS files.
CalculiX is a free and open-source finite-element analysis application that uses an input format similar to Abaqus. It has an implicit and explicit solver (CCX) written by Guido Dhondt and a pre- and post-processor (CGX) written by Klaus Wittig. [1] The original software was written for the Linux [2] operating system.
SolveSpace v3.0 is able to export 2D sketches and surfaces into DXF/DWG (AutoCAD version 2007), PDF, SVG, EPS, and HPGL file formats. Wireframes can be exported as DXF and STEP files. Polygon meshes can be exported as STL and Wavefront OBJ; NURBS as STEP. SolveSpace is able to export models in STEP, STL, and G-code for reuse in third-party CAM ...
The GNU Linear Programming Kit (GLPK) is a software package intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems. It is a set of routines written in ANSI C and organized in the form of a callable library .
MOSEK is a software package for the solution of linear, mixed-integer linear, quadratic, mixed-integer quadratic, quadratically constrained, conic and convex nonlinear mathematical optimization problems. The applicability of the solver varies widely and is commonly used for solving problems in areas such as engineering, finance and computer ...
In computer science and mathematical logic, satisfiability modulo theories (SMT) is the problem of determining whether a mathematical formula is satisfiable.It generalizes the Boolean satisfiability problem (SAT) to more complex formulas involving real numbers, integers, and/or various data structures such as lists, arrays, bit vectors, and strings.