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  2. Big M method - Wikipedia

    en.wikipedia.org/wiki/Big_M_method

    For a sufficiently large M, the optimal solution contains any artificial variables in the basis (i.e. positive values) if and only if the problem is not feasible. However, the a-priori selection of an appropriate value for M is not trivial. A way to overcome the need to specify the value of M is described in. [1]

  3. Constraint programming - Wikipedia

    en.wikipedia.org/wiki/Constraint_programming

    A problem is typically stated as a state of the world containing a number of unknown variables. The constraint program searches for values for all the variables. Temporal concurrent constraint programming (TCC) and non-deterministic temporal concurrent constraint programming (MJV) are variants of constraint programming that can deal with time.

  4. Sequential quadratic programming - Wikipedia

    en.wikipedia.org/wiki/Sequential_quadratic...

    Sequential quadratic programming (SQP) is an iterative method for constrained nonlinear optimization which may be considered a quasi-Newton method. SQP methods are used on mathematical problems for which the objective function and the constraints are twice continuously differentiable , but not necessarily convex.

  5. Longest increasing subsequence - Wikipedia

    en.wikipedia.org/wiki/Longest_increasing_subsequence

    In the limit as approaches infinity, the Baik-Deift-Johansson theorem says, that the length of the longest increasing subsequence of a randomly permuted sequence of items has a distribution approaching the Tracy–Widom distribution, the distribution of the largest eigenvalue of a random matrix in the Gaussian unitary ensemble.

  6. Limit of a function - Wikipedia

    en.wikipedia.org/wiki/Limit_of_a_function

    respectively. If these limits exist at p and are equal there, then this can be referred to as the limit of f(x) at p. [7] If the one-sided limits exist at p, but are unequal, then there is no limit at p (i.e., the limit at p does not exist). If either one-sided limit does not exist at p, then the limit at p also does not exist.

  7. Iterated limit - Wikipedia

    en.wikipedia.org/wiki/Iterated_limit

    In multivariable calculus, an iterated limit is a limit of a sequence or a limit of a function in the form , = (,), (,) = ((,)),or other similar forms. An iterated limit is only defined for an expression whose value depends on at least two variables. To evaluate such a limit, one takes the limiting process as one of the two variables approaches some number, getting an expression whose value ...

  8. Yahoo Sports AM: The Cavs cannot be stopped - AOL

    www.aol.com/sports/yahoo-sports-am-141303951.html

    In today's edition: The Cavs cannot be stopped, upsets galore in MLS Playoffs, the birth of pro football, the Sunshine State's gloomy weekend, and more.

  9. List of unsolved problems in computer science - Wikipedia

    en.wikipedia.org/wiki/List_of_unsolved_problems...

    Can all-pairs shortest paths be computed in strongly sub-cubic time, that is, in time O(V 3−ϵ) for some ϵ>0? Can the Schwartz–Zippel lemma for polynomial identity testing be derandomized? Does linear programming admit a strongly polynomial-time algorithm? (This is problem #9 in Smale's list of problems.)