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  2. Boolean satisfiability problem - Wikipedia

    en.wikipedia.org/wiki/Boolean_satisfiability_problem

    The Boolean satisfiability problem (SAT) is, given a formula, to check whether it is satisfiable. This decision problem is of central importance in many areas of computer science, including theoretical computer science, complexity theory, [3] [4] algorithmics, cryptography [5] [6] and artificial intelligence. [7] [additional citation (s) needed]

  3. History of statistics - Wikipedia

    en.wikipedia.org/wiki/History_of_statistics

    History of statistics. Statistics, in the modern sense of the word, began evolving in the 18th century in response to the novel needs of industrializing sovereign states . In early times, the meaning was restricted to information about states, particularly demographics such as population. This was later extended to include all collections of ...

  4. Solver - Wikipedia

    en.wikipedia.org/wiki/Solver

    Solver. A solver is a piece of mathematical software, possibly in the form of a stand-alone computer program or as a software library, that 'solves' a mathematical problem. A solver takes problem descriptions in some sort of generic form and calculates their solution. In a solver, the emphasis is on creating a program or library that can easily ...

  5. Linear programming - Wikipedia

    en.wikipedia.org/wiki/Linear_programming

    Linear programming is a special case of mathematical programming (also known as mathematical optimization ). 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 ...

  6. Iterative method - Wikipedia

    en.wikipedia.org/wiki/Iterative_method

    Iterative method. In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the n -th approximation is derived from the previous ones. A specific implementation with termination criteria for a given ...

  7. Lasso (statistics) - Wikipedia

    en.wikipedia.org/wiki/Lasso_(statistics)

    Lasso (statistics) In statistics and machine learning, lasso ( least absolute shrinkage and selection operator; also Lasso or LASSO) is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpretability of the resulting statistical model.

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