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  2. Multigrid method - Wikipedia

    en.wikipedia.org/wiki/Multigrid_method

    In other words, it can solve these problems to a given accuracy in a number of operations that is proportional to the number of unknowns. Assume that one has a differential equation which can be solved approximately (with a given accuracy) on a grid with a given grid point density .

  3. Quadratic programming - Wikipedia

    en.wikipedia.org/wiki/Quadratic_programming

    Popular solver with an API (C, C++, Java, .Net, Python, Matlab and R). Free for academics. Excel Solver Function: A nonlinear solver adjusted to spreadsheets in which function evaluations are based on the recalculating cells. Basic version available as a standard add-on for Excel. GAMS: A high-level modeling system for mathematical optimization ...

  4. TK Solver - Wikipedia

    en.wikipedia.org/wiki/TK_Solver

    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:

  5. Linear programming - Wikipedia

    en.wikipedia.org/wiki/Linear_programming

    The simplex algorithm has been proved to solve "random" problems efficiently, i.e. in a cubic number of steps, [16] which is similar to its behavior on practical problems. [ 13 ] [ 17 ] However, the simplex algorithm has poor worst-case behavior: Klee and Minty constructed a family of linear programming problems for which the simplex method ...

  6. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    HiGHS is designed to solve large-scale models and exploits problem sparsity. Its performance relative to commercial and other open-source software is reviewed periodically using industry-standard benchmarks. [2] The term HiGHS may also refer to both the underlying project and the small team leading the software development.

  7. Interior-point method - Wikipedia

    en.wikipedia.org/wiki/Interior-point_method

    An interior point method was discovered by Soviet mathematician I. I. Dikin in 1967. [1] The method was reinvented in the U.S. in the mid-1980s. In 1984, Narendra Karmarkar developed a method for linear programming called Karmarkar's algorithm, [2] which runs in provably polynomial time (() operations on L-bit numbers, where n is the number of variables and constants), and is also very ...

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  9. Formula editor - Wikipedia

    en.wikipedia.org/wiki/Formula_editor

    A formula editor is a computer program that is used to typeset mathematical formulas and mathematical expressions. Formula editors typically serve two purposes: They allow word processing and publication of technical content either for print publication, or to generate raster images for web pages or screen presentations.