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  2. List of optimization software - Wikipedia

    en.wikipedia.org/wiki/List_of_optimization_software

    MIDACO – a software package for numerical optimization based on evolutionary computing. MINTO – integer programming solver using branch and bound algorithm; freeware for personal use. MOSEK – a large scale optimisation software. Solves linear, quadratic, conic and convex nonlinear, continuous and integer optimisation.

  3. Conflict-driven clause learning - Wikipedia

    en.wikipedia.org/wiki/Conflict-Driven_Clause...

    Conflict-driven clause learning. In computer science, conflict-driven clause learning ( CDCL) is an algorithm for solving the Boolean satisfiability problem (SAT). Given a Boolean formula, the SAT problem asks for an assignment of variables so that the entire formula evaluates to true. The internal workings of CDCL SAT solvers were inspired by ...

  4. List of finite element software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_finite_element...

    GOMA is an open-source, parallel, and scalable multiphysics software package for modeling and simulation of real-life physical processes, with a basis in computational fluid dynamics for problems with evolving geometry. A generic finite element library written in C++ with interfaces for Python, Matlab and Scilab.

  5. Constraint programming - Wikipedia

    en.wikipedia.org/wiki/Constraint_programming

    Constraint programming. Constraint programming (CP) [1] is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state the constraints on the feasible solutions for a set of decision variables.

  6. Heuristic (computer science) - Wikipedia

    en.wikipedia.org/wiki/Heuristic_(computer_science)

    Heuristic (computer science) In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for problem solving more quickly when classic methods are too slow for finding an exact or approximate solution, or when classic methods fail to find any exact solution in a search space.

  7. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    HiGHS is based on solvers written by PhD students from the Optimization and Operational Research Group in the School of Mathematics at the University of Edinburgh.Its origins can be traced back to late 2016, when Ivet Galabova combined her LP presolve with Julian Hall's simplex crash procedure and Huangfu Qi's dual simplex solver to solve a class of industrial LP problems faster than the best ...

  8. Minion (solver) - Wikipedia

    en.wikipedia.org/wiki/Minion_(solver)

    Minion (solver) Minion is a solver for constraint satisfaction problems. Unlike constraint programming toolkits, which expect users to write programs in a traditional programming language like C++, Java or Prolog, Minion takes a text file which specifies the problem, and solves using only this. This makes using Minion much simpler, at the cost ...

  9. Virtual inheritance - Wikipedia

    en.wikipedia.org/wiki/Virtual_inheritance

    Virtual inheritance is a C++ technique that ensures only one copy of a base class ' s member variables are inherited by grandchild derived classes. Without virtual inheritance, if two classes B and C inherit from a class A, and a class D inherits from both B and C, then D will contain two copies of A ' s member variables: one via B, and one via C.