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  2. Integral transform - Wikipedia

    en.wikipedia.org/wiki/Integral_transform

    v. t. e. In mathematics, an integral transform is a type of transform that maps a function from its original function space into another function space via integration, where some of the properties of the original function might be more easily characterized and manipulated than in the original function space.

  3. Convex conjugate - Wikipedia

    en.wikipedia.org/wiki/Convex_conjugate

    Convex conjugate. In mathematics and mathematical optimization, the convex conjugate of a function is a generalization of the Legendre transformation which applies to non-convex functions. It is also known as Legendre–Fenchel transformation, Fenchel transformation, or Fenchel conjugate (after Adrien-Marie Legendre and Werner Fenchel ).

  4. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    In probability theory, a probability density function (PDF), density function, or density of an absolutely continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would be equal to that sample.

  5. Laplace transform - Wikipedia

    en.wikipedia.org/wiki/Laplace_transform

    Laplace transform. In mathematics, the Laplace transform, named after its discoverer Pierre-Simon Laplace ( / ləˈplɑːs / ), is an integral transform that converts a function of a real variable (usually , in the time domain) to a function of a complex variable (in the complex-valued frequency domain, also known as s-domain, or s-plane ).

  6. Multivariate normal distribution - Wikipedia

    en.wikipedia.org/wiki/Multivariate_normal...

    The multivariate normal distribution is said to be "non-degenerate" when the symmetric covariance matrix is positive definite. In this case the distribution has density [5] where is a real k -dimensional column vector and is the determinant of , also known as the generalized variance.

  7. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    The pdf and cdf of the function ⁡ of the log-normal variable can also be computed in this way. Probability in different domains [ edit ] The probability content of a log-normal distribution in any arbitrary domain can be computed to desired precision by first transforming the variable to normal, then numerically integrating using the ray ...

  8. Laplace–Stieltjes transform - Wikipedia

    en.wikipedia.org/wiki/Laplace–Stieltjes_transform

    Real-valued functions. The Laplace–Stieltjes transform of a real-valued function g is given by a Lebesgue–Stieltjes integral of the form ()for s a complex number.As with the usual Laplace transform, one gets a slightly different transform depending on the domain of integration, and for the integral to be defined, one also needs to require that g be of bounded variation on the region of ...

  9. Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fourier_transform

    Definition The Fourier transform is an analysis process, decomposing a complex-valued function f (x) {\displaystyle \textstyle f(x)} into its constituent frequencies and their amplitudes. The inverse process is synthesis, which recreates f (x) {\displaystyle \textstyle f(x)} from its transform. We can start with an analogy, the Fourier series, which analyzes f (x) {\displaystyle \textstyle f(x ...