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  2. Laplace transform - Wikipedia

    en.wikipedia.org/wiki/Laplace_transform

    An alternative formula for the inverse Laplace transform is given by Post's ... Time scaling () a > 0 ... A useful property of the Laplace transform is the ...

  3. Laplace distribution - Wikipedia

    en.wikipedia.org/wiki/Laplace_distribution

    In probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon Laplace.It is also sometimes called the double exponential distribution, because it can be thought of as two exponential distributions (with an additional location parameter) spliced together along the abscissa, although the term is also sometimes used to refer to ...

  4. List of Laplace transforms - Wikipedia

    en.wikipedia.org/wiki/List_of_Laplace_transforms

    The unilateral Laplace transform takes as input a function whose time domain is the non-negative reals, which is why all of the time domain functions in the table below are multiples of the Heaviside step function, u(t). The entries of the table that involve a time delay τ are required to be causal (meaning that τ > 0).

  5. Two-sided Laplace transform - Wikipedia

    en.wikipedia.org/wiki/Two-sided_Laplace_transform

    Two-sided Laplace transforms are closely related to the Fourier transform, the Mellin transform, the Z-transform and the ordinary or one-sided Laplace transform. If f ( t ) is a real- or complex-valued function of the real variable t defined for all real numbers, then the two-sided Laplace transform is defined by the integral

  6. Time-scale calculus - Wikipedia

    en.wikipedia.org/wiki/Time-scale_calculus

    A Laplace transform can be defined for functions on time scales, which uses the same table of transforms for any arbitrary time scale. This transform can be used to solve dynamic equations on time scales. If the time scale is the non-negative integers then the transform is equal [2] to a modified Z-transform: ′ {[]} = {[+]} +

  7. Gamma distribution - Wikipedia

    en.wikipedia.org/wiki/Gamma_distribution

    Given the scaling property above, it is enough to generate gamma variables with θ = 1, as we can later convert to any value of λ with a simple division. Suppose we wish to generate random variables from Gamma( n + δ , 1) , where n is a non-negative integer and 0 < δ < 1 .

  8. Characteristic function (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Characteristic_function...

    The formula in the definition of characteristic function allows us to compute φ when we know the distribution function F (or density f). If, on the other hand, we know the characteristic function φ and want to find the corresponding distribution function, then one of the following inversion theorems can be used.

  9. Laplace operator - Wikipedia

    en.wikipedia.org/wiki/Laplace_operator

    In mathematics, the Laplace operator or Laplacian is a differential operator given by the divergence of the gradient of a scalar function on Euclidean space. It is usually denoted by the symbols ∇ ⋅ ∇ {\displaystyle \nabla \cdot \nabla } , ∇ 2 {\displaystyle \nabla ^{2}} (where ∇ {\displaystyle \nabla } is the nabla operator ), or Δ ...