AbstractThe ϵ entropy of the class F∗ of real-valued monotone functions from [0, 1] to [0, 1] in the usual Chebyshev norm is infinite, due to the discontinuities in some of the f ϵ F∗. One of the class of norms introduced by P. Lévy for analyzing the convergence of distribution functions gives finite ϵ entropy ∼(1ϵ). (There is an obvious extension to the class F∗AB of monotone functions from [0, A] to [0, B]
We will consider \(\infty\)-entropy points in the context of the possibilities of approximation mapp...
An upper bound is established for the entropy corresponding to a positive integer valued random vari...
Given a Boolean function f:{ -1,1}n → {-1,1}, define the Fourier distribution to be the distribution...
We establish upper and lower bounds for the metric entropy and bracketing entropy of the class of d-...
AbstractWe establish upper and lower bounds for the metric entropy and bracketing entropy of the cla...
AbstractThis thesis deals with a certain set function called entropy and its ápplications to some pr...
We establish upper and lower bounds for the metric entropy and bracketing entropy of the class of d-...
AbstractLet X be a finite alphabet. For L ⊆ X∗ let ϱL denote the radius of convergence of the struct...
AbstractWe determine the exact asymptotic behaviour of entropy numbers of diagonal operators from ℓp...
AbstractWe estimate the metric entropy of compact subsets of the algebra A of absolutely convergent ...
It is well known that the entropy H(X) of a discrete random variable X is always greater than or equ...
This note discusses Milnor’s conjecture on monotonicity of entropy and gives a short exposition of t...
A characterization of the entropy —∫ f log f dx of a random variable is provided. If X is a random v...
Given a Boolean function f : {−1, 1}n → {−1, 1}, define the Fourier distribution to be the distribut...
AbstractThis paper gives some estimates relating to the Oleinik entropy inequality for a single cons...
We will consider \(\infty\)-entropy points in the context of the possibilities of approximation mapp...
An upper bound is established for the entropy corresponding to a positive integer valued random vari...
Given a Boolean function f:{ -1,1}n → {-1,1}, define the Fourier distribution to be the distribution...
We establish upper and lower bounds for the metric entropy and bracketing entropy of the class of d-...
AbstractWe establish upper and lower bounds for the metric entropy and bracketing entropy of the cla...
AbstractThis thesis deals with a certain set function called entropy and its ápplications to some pr...
We establish upper and lower bounds for the metric entropy and bracketing entropy of the class of d-...
AbstractLet X be a finite alphabet. For L ⊆ X∗ let ϱL denote the radius of convergence of the struct...
AbstractWe determine the exact asymptotic behaviour of entropy numbers of diagonal operators from ℓp...
AbstractWe estimate the metric entropy of compact subsets of the algebra A of absolutely convergent ...
It is well known that the entropy H(X) of a discrete random variable X is always greater than or equ...
This note discusses Milnor’s conjecture on monotonicity of entropy and gives a short exposition of t...
A characterization of the entropy —∫ f log f dx of a random variable is provided. If X is a random v...
Given a Boolean function f : {−1, 1}n → {−1, 1}, define the Fourier distribution to be the distribut...
AbstractThis paper gives some estimates relating to the Oleinik entropy inequality for a single cons...
We will consider \(\infty\)-entropy points in the context of the possibilities of approximation mapp...
An upper bound is established for the entropy corresponding to a positive integer valued random vari...
Given a Boolean function f:{ -1,1}n → {-1,1}, define the Fourier distribution to be the distribution...