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  2. Simplex algorithm - Wikipedia

    en.wikipedia.org/wiki/Simplex_algorithm

    In mathematical optimization, Dantzig's simplex algorithm (or simplex method) is a popular algorithm for linear programming. [ 1 ] The name of the algorithm is derived from the concept of a simplex and was suggested by T. S. Motzkin . [ 2 ]

  3. Revised simplex method - Wikipedia

    en.wikipedia.org/wiki/Revised_simplex_method

    The revised simplex method is mathematically equivalent to the standard simplex method but differs in implementation. Instead of maintaining a tableau which explicitly represents the constraints adjusted to a set of basic variables, it maintains a representation of a basis of the matrix representing the constraints. The matrix-oriented approach ...

  4. Basic feasible solution - Wikipedia

    en.wikipedia.org/wiki/Basic_feasible_solution

    Since non-basic variables equal 0, the current BFS is , and the current maximization objective is . If all coefficients in r {\displaystyle r} are negative, then z 0 {\displaystyle z_{0}} is an optimal solution, since all variables (including all non-basic variables) must be at least 0, so the second line implies z ≤ z 0 {\displaystyle z\leq ...

  5. Dual linear program - Wikipedia

    en.wikipedia.org/wiki/Dual_linear_program

    The proof establishes that, once the simplex algorithm finishes with a solution to the primal LP, it is possible to read from the final tableau, a solution to the dual LP. So, by running the simplex algorithm, we obtain solutions to both the primal and the dual simultaneously. [1]: 87–89 Another proof uses the Farkas lemma. [1]: 94

  6. Method of analytic tableaux - Wikipedia

    en.wikipedia.org/wiki/Method_of_analytic_tableaux

    A graphical representation of a partially built propositional tableau. In proof theory, the semantic tableau [1] (/ t æ ˈ b l oʊ, ˈ t æ b l oʊ /; plural: tableaux), also called an analytic tableau, [2] truth tree, [1] or simply tree, [2] is a decision procedure for sentential and related logics, and a proof procedure for formulae of first-order logic. [1]

  7. Big M method - Wikipedia

    en.wikipedia.org/wiki/Big_M_method

    If the problem is of minimization, transform to maximization by multiplying the objective by −1. For any greater-than constraints, introduce surplus s i and artificial variables a i (as shown below). Choose a large positive Value M and introduce a term in the objective of the form −M multiplying the artificial variables.

  8. Trump’s Executive Orders Could Delay Your Tax Refund This ...

    www.aol.com/trump-executive-orders-could-delay...

    President Donald Trump has issued a slew of executive orders (EO) since beginning his second term, including one that may have an impact on your tax refund.One of Trump’s EOs initiated a hiring ...

  9. 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 ...