AbstractIn the truncated classical moment problems, the set of all solutions constitutes a convex set of positive measures. We are concerned with extreme points of this convex set. It is shown that the extreme points can be characterized in terms of the singularly positive definite extensions of a given positive definite finite sequence
The thesis consists of two sections, the theoretical and the practical one. Theoretical part deals w...
AbstractConsider the order interval of operators [0, A] = {X|0 ≤ X ≤ A}. In finite dimensions (or if...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
AbstractIn the truncated classical moment problems, the set of all solutions constitutes a convex se...
From the fact that the two-dimensional moment problem is not always solvable, one can deduce that th...
AbstractThis paper presents results about positive definite doubly stochastic matrices, in particula...
AbstractWe determine the extreme points and exposed points of the convex set of positive semidefinit...
© 2016, Springer-Verlag Berlin Heidelberg. Necessary and sufficient conditions for a measure to be a...
AbstractThe convex polytope of all stochastic and symmetric matrices is considered and its extreme p...
The paper deals with sets of distributions which are given by moment conditions and convex constrain...
The paper deals with sets of distributions which are given by moment conditions for the distribution...
International audienceWe consider a generalization of the Bauer maximum principle. We work with tens...
ABSTRACT. For a truncated matrix moment problem, we describe in detail the set of positive definite ...
Abstract. Using elementary techniques from linear algebra, we de-scribe a recursire model for singul...
The paper deals with sets of distributions which are given by moment conditions for the distribution...
The thesis consists of two sections, the theoretical and the practical one. Theoretical part deals w...
AbstractConsider the order interval of operators [0, A] = {X|0 ≤ X ≤ A}. In finite dimensions (or if...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
AbstractIn the truncated classical moment problems, the set of all solutions constitutes a convex se...
From the fact that the two-dimensional moment problem is not always solvable, one can deduce that th...
AbstractThis paper presents results about positive definite doubly stochastic matrices, in particula...
AbstractWe determine the extreme points and exposed points of the convex set of positive semidefinit...
© 2016, Springer-Verlag Berlin Heidelberg. Necessary and sufficient conditions for a measure to be a...
AbstractThe convex polytope of all stochastic and symmetric matrices is considered and its extreme p...
The paper deals with sets of distributions which are given by moment conditions and convex constrain...
The paper deals with sets of distributions which are given by moment conditions for the distribution...
International audienceWe consider a generalization of the Bauer maximum principle. We work with tens...
ABSTRACT. For a truncated matrix moment problem, we describe in detail the set of positive definite ...
Abstract. Using elementary techniques from linear algebra, we de-scribe a recursire model for singul...
The paper deals with sets of distributions which are given by moment conditions for the distribution...
The thesis consists of two sections, the theoretical and the practical one. Theoretical part deals w...
AbstractConsider the order interval of operators [0, A] = {X|0 ≤ X ≤ A}. In finite dimensions (or if...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
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