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103 101 (0,478s)

Result

Structure of the Set of Norm-attaining Functionals on Strictly Convex Spaces

Let X be a separable non-reflexive Banach space. We show that there is no Borel class which contains the set of norm-attaining functionals for every strictly convex renorming of X....

BA - Obecná matematika

  • 2011
  • Jx
  • Link
Result

Affine trajectories in a field of strictly convex functions

The paper presents one important and interesting property of strictly convex functions. On the base of previously proved properties of these functions, we can generalize some global-geometric conclusions, without t...

BA - Obecná matematika

  • 2015
  • Jx
  • Link
Result

Strictly convex renormings

A normed space X is said to be strictly convex if x = y whenever //(x+y)/2 admit an equivalent strictly convex norm. We present a characterization in linear topological terms of the normed spaces which are stri...

BA - Obecná matematika

  • 2007
  • Jx
Result

A strictly convex Sobolev function with null Hessian minors

Given 1 LESS-THAN OR EQUAL TO p < k LESS-THAN OR EQUAL TO n, we construct a strictly convex function f ELEMENT OF W^{2,p}((0,1)^n) with α-Hölder continuous TO k, and rank NABLA^2 g < k a.e., then g cannot be strictly

BA - Obecná matematika

  • 2016
  • Jx
  • Link
Result

On minimization of multivariate entropy functionals

The problem of minimizing convex integral functionals subject to moment-like constraints is treated in a general setting when the underlying convex function may be multivariate, perhaps not strictly co...

BD - Teorie informace

  • 2009
  • D
Result

On strict monotonicity of the price elasticity

In the paper sufficient conditions are examined for the price elasticity of demand and supply to be strictly monotonic in terms of concavity amd convexity of the carrier function......

AH - Ekonomie

  • 2005
  • D
Result

Convex programming with separable ellipsoidal constraints: application in contact problems with orthotropic friction

The algorithm for constrained minimization of strictly convex quadratic functions subject to simple bounds and separable ellipsoidal constraints is used for numerical solution of discretized 3D contact problems with orthotr...

BA - Obecná matematika

  • 2014
  • Jx
  • Link
Result

Minimizing quadratic functions with semidefinite Hessian subject to bound constraints

for minimization of the strictly convex quadratic function subject to bound constraints of A and generates the iterates that are proved to minimize the cost function. The paper examines specific features of the so...

BA - Obecná matematika

  • 2015
  • Jx
  • Link
Result

Unconditional bases and strictly convex dual renormings

We present equivalent conditions for a space X with an unconditional basis to admit an equivalent norm with a strictly convex dual norm....

BA - Obecná matematika

  • 2009
  • Jx
  • Link
Result

On a Neumann problem for variational functionals of linear growth

We consider a Neumann problem for strictly convex variational functionals of linear growth. We establish the existence of minimisers among W1,1- functions, in this situation, the relaxation of the functional

Pure mathematics

  • 2020
  • Jimp
  • Link
  • 1 - 10 out of 103 101