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  2. SAT solver - Wikipedia

    en.wikipedia.org/wiki/SAT_solver

    In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem.On input a formula over Boolean variables, such as "(x or y) and (x or not y)", a SAT solver outputs whether the formula is satisfiable, meaning that there are possible values of x and y which make the formula true, or unsatisfiable, meaning that there are no such ...

  3. Boolean satisfiability problem - Wikipedia

    en.wikipedia.org/wiki/Boolean_satisfiability_problem

    In contrast, no renaming of (x 1 ∨ ¬x 2 ∨ ¬x 3) ∧ (¬x 1 ∨ x 2 ∨ x 3) ∧ ¬x 1 leads to a Horn formula. Checking the existence of such a replacement can be done in linear time; therefore, the satisfiability of such formulae is in P as it can be solved by first performing this replacement and then checking the satisfiability of the ...

  4. eval - Wikipedia

    en.wikipedia.org/wiki/Eval

    In some programming languages, eval, short for evaluate, is a function which evaluates a string as though it were an expression in the language, and returns a result; in others, it executes multiple lines of code as though they had been included instead of the line including the eval.

  5. Evaluation strategy - Wikipedia

    en.wikipedia.org/wiki/Evaluation_strategy

    In a programming language, an evaluation strategy is a set of rules for evaluating expressions. [1] The term is often used to refer to the more specific notion of a parameter-passing strategy [2] that defines the kind of value that is passed to the function for each parameter (the binding strategy) [3] and whether to evaluate the parameters of a function call, and if so in what order (the ...

  6. De Boor's algorithm - Wikipedia

    en.wikipedia.org/wiki/De_Boor's_algorithm

    Here we discuss de Boor's algorithm, an efficient and numerically stable scheme to evaluate a spline curve () at position . The curve is built from a sum of B-spline functions B i , p ( x ) {\displaystyle B_{i,p}(x)} multiplied with potentially vector-valued constants c i {\displaystyle \mathbf {c} _{i}} , called control points, S ( x ) = ∑ i ...

  7. Lagrange polynomial - Wikipedia

    en.wikipedia.org/wiki/Lagrange_polynomial

    This second form has advantages in computation cost and accuracy: it avoids evaluation of (); the work to compute each term in the denominator / has already been done in computing (/ ()) and so computing the sum in the denominator costs only addition operations; for evaluation points which are close to one of the nodes , catastrophic ...

  8. Relief (feature selection) - Wikipedia

    en.wikipedia.org/wiki/Relief_(feature_selection)

    Relief is an algorithm developed by Kira and Rendell in 1992 that takes a filter-method approach to feature selection that is notably sensitive to feature interactions. [1] [2] It was originally designed for application to binary classification problems with discrete or numerical features.

  9. Error function - Wikipedia

    en.wikipedia.org/wiki/Error_function

    (), where (2n − 1)!! is the double factorial of (2n − 1), which is the product of all odd numbers up to (2n − 1). This series diverges for every finite x , and its meaning as asymptotic expansion is that for any integer N ≥ 1 one has erfc ⁡ x = e − x 2 x π ∑ n = 0 N − 1 ( − 1 ) n ( 2 n − 1 ) ! !