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  2. Limits of integration - Wikipedia

    en.wikipedia.org/wiki/Limits_of_integration

    In calculus and mathematical analysis the limits of integration (or bounds of integration) of the integral () of a Riemann integrable function f {\displaystyle f} defined on a closed and bounded interval are the real numbers a {\displaystyle a} and b {\displaystyle b} , in which a {\displaystyle a} is called the lower limit and b {\displaystyle ...

  3. Jordan's lemma - Wikipedia

    en.wikipedia.org/wiki/Jordan's_lemma

    The path C is the concatenation of the paths C 1 and C 2.. Jordan's lemma yields a simple way to calculate the integral along the real axis of functions f(z) = e i a z g(z) holomorphic on the upper half-plane and continuous on the closed upper half-plane, except possibly at a finite number of non-real points z 1, z 2, …, z n.

  4. Constrained optimization - Wikipedia

    en.wikipedia.org/wiki/Constrained_optimization

    After the problem on variables +, …, is solved, its optimal cost can be used as an upper bound while solving the other problems, In particular, the cost estimate of a solution having x i + 1 , … , x n {\displaystyle x_{i+1},\ldots ,x_{n}} as unassigned variables is added to the cost that derives from the evaluated variables.

  5. Estimation lemma - Wikipedia

    en.wikipedia.org/wiki/Estimation_lemma

    In mathematics the estimation lemma, also known as the ML inequality, gives an upper bound for a contour integral.If f is a complex-valued, continuous function on the contour Γ and if its absolute value | f (z) | is bounded by a constant M for all z on Γ, then

  6. Interval arithmetic - Wikipedia

    en.wikipedia.org/wiki/Interval_arithmetic

    The main objective of interval arithmetic is to provide a simple way of calculating upper and lower bounds of a function's range in one or more variables. These endpoints are not necessarily the true supremum or infimum of a range since the precise calculation of those values can be difficult or impossible; the bounds only need to contain the function's range as a subset.

  7. Extreme value theorem - Wikipedia

    en.wikipedia.org/wiki/Extreme_value_theorem

    By the boundedness theorem, f is bounded from above, hence, by the Dedekind-completeness of the real numbers, the least upper bound (supremum) M of f exists. It is necessary to find a point d in [a, b] such that M = f(d). Let n be a natural number. As M is the least upper bound, M – 1/n is not an upper bound for f.

  8. Laplace's method - Wikipedia

    en.wikipedia.org/wiki/Laplace's_method

    Upper bound: The proof is similar to that of the lower bound but there are a few inconveniences. Again we start by picking an ε > 0 {\displaystyle \varepsilon >0} but in order for the proof to work we need ε {\displaystyle \varepsilon } small enough so that f ″ ( x 0 ) + ε < 0. {\displaystyle f''(x_{0})+\varepsilon <0.}

  9. Upper and lower bounds - Wikipedia

    en.wikipedia.org/wiki/Upper_and_lower_bounds

    13934 and other numbers x such that x ≥ 13934 would be an upper bound for S. The set S = {42} has 42 as both an upper bound and a lower bound; all other numbers are either an upper bound or a lower bound for that S. Every subset of the natural numbers has a lower bound since the natural numbers have a least element (0 or 1, depending on ...