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  2. Quadratic programming - Wikipedia

    en.wikipedia.org/wiki/Quadratic_programming

    An open source computational geometry package which includes a quadratic programming solver. CPLEX: 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.

  3. SolverStudio - Wikipedia

    en.wikipedia.org/wiki/SolverStudio

    SolverStudio is a free Excel plug-in developed at the University of Auckland [1] that supports optimization and simulation modelling in a spreadsheet using an algebraic modeling language. It is popular in education, [ 2 ] the public sector [ 3 ] and industry for optimization users because it uses industry-standard modelling languages and is ...

  4. Reduced cost - Wikipedia

    en.wikipedia.org/wiki/Reduced_cost

    Given a system minimize subject to ,, the reduced cost vector can be computed as , where is the dual cost vector. It follows directly that for a minimization problem, any non- basic variables at their lower bounds with strictly negative reduced costs are eligible to enter that basis, while any basic variables must have a reduced cost that is ...

  5. Cutting stock problem - Wikipedia

    en.wikipedia.org/wiki/Cutting_stock_problem

    Cutting-stock problems can be classified in several ways. [1] One way is the dimensionality of the cutting: the above example illustrates a one-dimensional (1D) problem; other industrial applications of 1D occur when cutting pipes, cables, and steel bars. Two-dimensional (2D) problems are encountered in furniture, clothing and glass production.

  6. List of optimization software - Wikipedia

    en.wikipedia.org/wiki/List_of_optimization_software

    An optimization problem, (in this case a minimization problem), can be represented in the following way: Given: a function f : A → {\displaystyle \to } R from some set A to the real numbers Search for: an element x 0 in A such that f ( x 0 ) ≤ f ( x ) for all x in A .

  7. Dynamic lot-size model - Wikipedia

    en.wikipedia.org/wiki/Dynamic_lot-size_model

    There is a setup cost s t incurred for each order and there is an inventory holding cost i t per item per period (s t and i t can also vary with time if desired). The problem is how many units x t to order now to minimize the sum of setup cost and inventory cost. Let us denote inventory:

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Minimum-cost flow problem - Wikipedia

    en.wikipedia.org/wiki/Minimum-cost_flow_problem

    A related problem is the minimum cost circulation problem, which can be used for solving minimum cost flow. The minimum cost circulation problem has no source and sink; instead it has costs and lower and upper bounds on each edge, and seeks flow amounts within the given bounds that balance the flow at each vertex and minimize the sum over edges ...