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  2. MOSEK - Wikipedia

    en.wikipedia.org/wiki/MOSEK

    The applicability of the solver varies widely and is commonly used for solving problems in areas such as engineering, finance and computer science. The emphasis in MOSEK is on solving large-scale sparse problems, in particular the interior-point optimizer for linear, conic quadratic (a.k.a. Second-order cone programming) and semi-definite (aka.

  3. 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

  4. Dancing Links - Wikipedia

    en.wikipedia.org/wiki/Dancing_Links

    The Dancing Links algorithm solving a polycube puzzle. In computer science, dancing links (DLX) is a technique for adding and deleting a node from a circular doubly linked list. It is particularly useful for efficiently implementing backtracking algorithms, such as Knuth's Algorithm X for the exact cover problem. [1]

  5. SAT solver - Wikipedia

    en.wikipedia.org/wiki/SAT_solver

    In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem.On input a formula over Boolean variables, such as "(x or y) and (x or not y)", a SAT solver outputs whether the formula is satisfiable, meaning that there are possible values of x and y which make the formula true, or unsatisfiable, meaning that there are no such ...

  6. Cassowary (software) - Wikipedia

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

    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. Cassowary was developed by Greg J. Badros, Alan Borning, and Peter J. Stuckey, and was optimized for user interface applications. [1]

  7. CPLEX - Wikipedia

    en.wikipedia.org/wiki/CPLEX

    4.0.5 March, 1996 Parallel CPLEX Mixed Integer Solver is introduced. 4.0 December, 1995 Redesigned advanced programming interface (API) to allow thread-safe applications. 3.0.8 March, 1995 Parallel CPLEX Barrier Solver is introduced. 3.0 April, 1994 CPLEX Barrier Solver is introduced. 2.1 March, 1993 Introduction of CPLEX Presolve algorithms. 2.0

  8. 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 ]

  9. Knuth's Algorithm X - Wikipedia

    en.wikipedia.org/wiki/Knuth's_Algorithm_X

    Knuth showed that Algorithm X can be implemented efficiently on a computer using dancing links in a process Knuth calls "DLX". DLX uses the matrix representation of the exact cover problem, implemented as doubly linked lists of the 1s of the matrix: each 1 element has a link to the next 1 above, below, to the left, and to the right of itself.

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