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  2. Quantum calculus - Wikipedia

    en.wikipedia.org/wiki/Quantum_calculus

    A function F(x) is an h-antiderivative of f(x) if D h F(x) = f(x).The h-integral is denoted by ().If a and b differ by an integer multiple of h then the definite integral () is given by a Riemann sum of f(x) on the interval [a, b], partitioned into sub-intervals of equal width h.

  3. Antiderivative - Wikipedia

    en.wikipedia.org/wiki/Antiderivative

    The slope field of () = +, showing three of the infinitely many solutions that can be produced by varying the arbitrary constant c.. In calculus, an antiderivative, inverse derivative, primitive function, primitive integral or indefinite integral [Note 1] of a continuous function f is a differentiable function F whose derivative is equal to the original function f.

  4. Antiderivative (complex analysis) - Wikipedia

    en.wikipedia.org/wiki/Antiderivative_(complex...

    However, this formal similarity notwithstanding, possessing a complex-antiderivative is a much more restrictive condition than its real counterpart. While it is possible for a discontinuous real function to have an anti-derivative, anti-derivatives can fail to exist even for holomorphic functions of a complex variable.

  5. Notation for differentiation - Wikipedia

    en.wikipedia.org/wiki/Notation_for_differentiation

    The x antiderivative of y and the second antiderivative of f, Euler notation. D-notation can be used for antiderivatives in the same way that Lagrange's notation is [ 11 ] as follows [ 10 ] D − 1 f ( x ) {\displaystyle D^{-1}f(x)} for a first antiderivative,

  6. q-derivative - Wikipedia

    en.wikipedia.org/wiki/Q-derivative

    Q-differentiation resembles ordinary differentiation, with curious differences.For example, the q-derivative of the monomial is: [2] = = []where [] is the q-bracket of n.Note that [] = so the ordinary derivative is regained in this limit.

  7. Error function - Wikipedia

    en.wikipedia.org/wiki/Error_function

    n = 1 that yield a minimax approximation or bound for the closely related Q-function: Q(x) ≈ Q̃(x), Q(x) ≤ Q̃(x), or Q(x) ≥ Q̃(x) for x ≥ 0. The coefficients {(a n,b n)} N n = 1 for many variations of the exponential approximations and bounds up to N = 25 have been released to open access as a comprehensive dataset. [16]

  8. Risch algorithm - Wikipedia

    en.wikipedia.org/wiki/Risch_Algorithm

    Risch called it a decision procedure, because it is a method for deciding whether a function has an elementary function as an indefinite integral, and if it does, for determining that indefinite integral. However, the algorithm does not always succeed in identifying whether or not the antiderivative of a given function in fact can be expressed ...

  9. Marcum Q-function - Wikipedia

    en.wikipedia.org/wiki/Marcum_Q-function

    Using the fact that (,) =, the generalized Marcum Q-function can alternatively be defined as a finite integral as (,) = ⁡ (+) ().However, it is preferable to have an integral representation of the Marcum Q-function such that (i) the limits of the integral are independent of the arguments of the function, (ii) and that the limits are finite, (iii) and that the integrand is a Gaussian function ...