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  2. Template:Kolmogorov Fomin Elements of the Theory of Functions ...

    en.wikipedia.org/wiki/Template:Kolmogorov_Fomin...

    Template: Kolmogorov Fomin Elements of the Theory of Functions and Functional Analysis/doc

  3. Polynomial evaluation - Wikipedia

    en.wikipedia.org/wiki/Polynomial_evaluation

    Horner's method evaluates a polynomial using repeated bracketing: + + + + + = + (+ (+ (+ + (+)))). This method reduces the number of multiplications and additions to just Horner's method is so common that a computer instruction "multiply–accumulate operation" has been added to many computer processors, which allow doing the addition and multiplication operations in one combined step.

  4. Template:Functions - Wikipedia

    en.wikipedia.org/wiki/Template:Functions

    Template: Functions. ... Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. Function; x ↦ f (x) History of the ...

  5. Polynomial interpolation - Wikipedia

    en.wikipedia.org/wiki/Polynomial_interpolation

    The process of interpolation maps the function f to a polynomial p. This defines a mapping X from the space C([a, b]) of all continuous functions on [a, b] to itself. The map X is linear and it is a projection on the subspace () of polynomials of degree n or less.

  6. Rosenbrock function - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_function

    Plot of the Rosenbrock function of two variables. Here a = 1 , b = 100 {\displaystyle a=1,b=100} , and the minimum value of zero is at ( 1 , 1 ) {\displaystyle (1,1)} . In mathematical optimization , the Rosenbrock function is a non- convex function , introduced by Howard H. Rosenbrock in 1960, which is used as a performance test problem for ...

  7. Evaluation function - Wikipedia

    en.wikipedia.org/wiki/Evaluation_function

    Initially, neural network based evaluation functions generally consisted of one neural network for the entire evaluation function, with input features selected from the board and whose output is an integer, normalized to the centipawn scale so that a value of 100 is roughly equivalent to a material advantage of a pawn.