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  2. Core (game theory) - Wikipedia

    en.wikipedia.org/wiki/Core_(game_theory)

    The core is a set which satisfies a system of weak linear inequalities. Hence the core is closed and convex. The Bondareva–Shapley theorem: the core of a game is nonempty if and only if the game is "balanced". [5] [6] Every Walrasian equilibrium has the core property, but not vice versa.

  3. Farkas' lemma - Wikipedia

    en.wikipedia.org/wiki/Farkas'_lemma

    In mathematics, Farkas' lemma is a solvability theorem for a finite system of linear inequalities. It was originally proven by the Hungarian mathematician Gyula Farkas . [ 1 ] Farkas' lemma is the key result underpinning the linear programming duality and has played a central role in the development of mathematical optimization (alternatively ...

  4. Linear inequality - Wikipedia

    en.wikipedia.org/wiki/Linear_inequality

    Two-dimensional linear inequalities are expressions in two variables of the form: + < +, where the inequalities may either be strict or not. The solution set of such an inequality can be graphically represented by a half-plane (all the points on one "side" of a fixed line) in the Euclidean plane. [2]

  5. Something Something Soup Something - Wikipedia

    en.wikipedia.org/wiki/Something_Something_Soup...

    An example of one of the more outlandish "soups" in Something Something Soup Something.. The player character is instructed to turn on a teleportation machine. After completing a small mini-game in which the player must line up a small white dot with a line on a monitor, the main part of the game is unlocked.

  6. Gaussian elimination - Wikipedia

    en.wikipedia.org/wiki/Gaussian_elimination

    Once y is also eliminated from the third row, the result is a system of linear equations in triangular form, and so the first part of the algorithm is complete. From a computational point of view, it is faster to solve the variables in reverse order, a process known as back-substitution.

  7. Linear programming - Wikipedia

    en.wikipedia.org/wiki/Linear_programming

    More formally, linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. Its feasible region is a convex polytope , which is a set defined as the intersection of finitely many half spaces , each of which is defined by a linear inequality.

  8. Minimax theorem - Wikipedia

    en.wikipedia.org/wiki/Minimax_theorem

    It is always true that the left-hand side is at most the right-hand side (max–min inequality) but equality only holds under certain conditions identified by minimax theorems. The first theorem in this sense is von Neumann's minimax theorem about two-player zero-sum games published in 1928, [2] which is considered the starting point of game ...

  9. List of computer algebra systems - Wikipedia

    en.wikipedia.org/wiki/List_of_computer_algebra...

    The following tables provide a comparison of computer algebra systems (CAS). [ 1 ] [ 2 ] [ 3 ] A CAS is a package comprising a set of algorithms for performing symbolic manipulations on algebraic objects, a language to implement them, and an environment in which to use the language.