Results 1 to 10 of about 530,367 (189)
Convex Defining Functions for Convex Domains [PDF]
21 ...
Jeffery D. McNeal, A. K. Herbig
openaire +4 more sources
Convex Functions on Convex Polytopes [PDF]
The behavior of convex functions is of interest in connection with a wide variety of optimization problems. It is shown here that this behavior is especially simple, in certain respects, when the domain is a polytope or belongs to certain classes of sets closely related to polytopes; moreover, the polytopes and related classes are actually ...
David Gale+2 more
openaire +2 more sources
Valuations on Convex Functions [PDF]
All continuous, SL$(n)$ and translation invariant valuations on the space of convex functions on ${\mathbb R}^n$ are completely classified.
Andrea Colesanti+2 more
openaire +5 more sources
Radical Convex Functions [PDF]
to appear in Mediterr.
Mohammad Sababheh, Hamid Reza Moradi
openaire +3 more sources
Smooth convex extensions of convex functions [PDF]
Final ...
Azagra, Daniel, Mudarra, Carlos
openaire +4 more sources
Schur-Convexity of Averages of Convex Functions [PDF]
The object is to give an overview of the study of Schur-convexity of various means and functions and to contribute to the subject with some new results. First, Schur-convexity of the generalized integral and weighted integral quasi-arithmetic mean is studied.
Roqia Ghulam+3 more
openaire +4 more sources
On the singularities of convex functions [PDF]
Given a semi-convex functionu: ω⊂R n→R and an integerk≡[0,1,n], we show that the set ∑k defined by $$\Sigma ^k = \left\{ {x \in \Omega :dim\left( {\partial u\left( x \right)} \right) \geqslant k} \right\}$$ is countably ℋn-k i.e., it is ...
Alberti G, AMBROSIO, Luigi, Cannarsa P.
openaire +2 more sources
On φ-convexity of convex functions
AbstractWe construct a non-trivial set φ of extended-real valued functions on Rn, containing all affine functions, such that an extended-real valued function f on Rn is convex if and only if it is φ-convex in the sense of Dolecki and Kurcyusz, i.e., the (pointwise) supremum of some subset of φ. Also, we prove a new sandwich theorem.
Ivan Singer+1 more
openaire +2 more sources
DC Proximal Newton for Non-Convex Optimization Problems [PDF]
We introduce a novel algorithm for solving learning problems where both the loss function and the regularizer are non-convex but belong to the class of difference of convex (DC) functions.
Flamary, Remi+2 more
core +4 more sources
On the Co-Ordinated Convex Functions [PDF]
In this paper we established new integral inequalities which are more general results for coordinated convex functions on the coordinates by using some classical inequalities.
Ozdemir, M. Emin+2 more
openaire +8 more sources