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
Limit (mathematics) (redirect from Convergence (math))
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
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
Euler's constant (redirect from Euler–Mascheroni constant γ)
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
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
Batch normalization (section Linear convergence)
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