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  2. Simplex algorithm - Wikipedia

    en.wikipedia.org/wiki/Simplex_algorithm

    In LP the objective function is a linear function, while the objective function of a linear–fractional program is a ratio of two linear functions. In other words, a linear program is a fractional–linear program in which the denominator is the constant function having the value one everywhere. A linear–fractional program can be solved by a ...

  3. Summation by parts - Wikipedia

    en.wikipedia.org/wiki/Summation_by_parts

    In mathematics, summation by parts transforms the summation of products of sequences into other summations, often simplifying the computation or (especially) estimation of certain types of sums. It is also called Abel's lemma or Abel transformation , named after Niels Henrik Abel who introduced it in 1826.

  4. Lambda lifting - Wikipedia

    en.wikipedia.org/wiki/Lambda_lifting

    Meta-functions will be given that describe lambda lifting and dropping. A meta-function is a function that takes a program as a parameter. The program is data for the meta-program. The program and the meta program are at different meta-levels. The following conventions will be used to distinguish program from the meta program,

  5. Straight-line program - Wikipedia

    en.wikipedia.org/wiki/Straight-line_program

    Let G be a finite group and let S be a subset of G.A straight-line program of length m over S computing some g ∈ G is a sequence of expressions (w 1,...,w m) such that for each i, w i is a symbol for some element of S, or w i = (w j,-1) for some j < i, or w i = (w j,w k) for some j,k < i, such that w m takes upon the value g when evaluated in G in the obvious manner.

  6. Mathematical optimization - Wikipedia

    en.wikipedia.org/wiki/Mathematical_optimization

    The function f is variously called an objective function, criterion function, loss function, cost function (minimization), [8] utility function or fitness function (maximization), or, in certain fields, an energy function or energy functional. A feasible solution that minimizes (or maximizes) the objective function is called an optimal solution.

  7. Lambda calculus - Wikipedia

    en.wikipedia.org/wiki/Lambda_calculus

    Lambda calculus is Turing complete, that is, it is a universal model of computation that can be used to simulate any Turing machine. [3] Its namesake, the Greek letter lambda (λ), is used in lambda expressions and lambda terms to denote binding a variable in a function.

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    mail.aol.com

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  9. Simple function - Wikipedia

    en.wikipedia.org/wiki/Simple_function

    Simple functions are sufficiently "nice" that using them makes mathematical reasoning, theory, and proof easier. For example, simple functions attain only a finite number of values. Some authors also require simple functions to be measurable, as used in practice. A basic example of a simple function is the floor function over the half-open ...