• mathematical analysis for the calculus of variations, Γ-convergence (Gamma-convergence) is a notion of convergence for functionals. It was introduced by Ennio De...
    5 KB (918 words) - 14:14, 4 June 2024
  • In mathematics, Kuratowski convergence or Painlevé-Kuratowski convergence is a notion of convergence for subsets of a topological space. First introduced...
    18 KB (3,524 words) - 16:34, 10 May 2024
  • which has a discontinuous pointwise limit. Another notion of convergence is uniform convergence. The uniform distance between two functions f , g : E → R...
    36 KB (5,830 words) - 23:33, 24 May 2024
  • the step size. Since using a step size γ {\displaystyle \gamma } that is too small would slow convergence, and a γ {\displaystyle \gamma } too large would...
    36 KB (5,280 words) - 10:08, 19 May 2024
  • Thumbnail for Gamma function
    Gamma function (redirect from Γ(x))
    In mathematics, the gamma function (represented by Γ, the capital letter gamma from the Greek alphabet) is one commonly used extension of the factorial...
    90 KB (13,429 words) - 10:27, 29 May 2024
  • Mosco convergence is a notion of convergence for functionals that is used in nonlinear analysis and set-valued analysis. It is a particular case of Γ-convergence...
    3 KB (394 words) - 23:56, 16 May 2024
  • Thumbnail for Euler's constant
    However, the rate of convergence of this expansion depends significantly on α. In particular, γn(1/2) exhibits much more rapid convergence than the conventional...
    51 KB (7,523 words) - 15:18, 5 June 2024
  • In mathematics, a convergence group or a discrete convergence group is a group Γ {\displaystyle \Gamma } acting by homeomorphisms on a compact metrizable...
    15 KB (2,122 words) - 17:56, 2 December 2023
  • Thumbnail for Cauchy distribution
    distribution f ( x ; x 0 , γ ) {\displaystyle f(x;x_{0},\gamma )} is the distribution of the x-intercept of a ray issuing from ( x 0 , γ ) {\displaystyle (x_{0}...
    45 KB (6,871 words) - 11:17, 23 April 2024
  • achieves a linear convergence rate in gradient descent, which is faster than the regular gradient descent with only sub-linear convergence. Denote the objective...
    29 KB (5,807 words) - 20:26, 6 February 2024