AbstractDoubly stochastic matrices are defined which have entries from an arbitrary vector space V. The extreme points of this convex set of matrices are studied, and convex subsets of V are identified for which these extreme matrices are of a permutation matrix type, i.e. for which a Birkhoff theorem holds
The topic of this thesis is linear optimization in relation to doubly stochastic matrices, which con...
AbstractLet Ω denote the set of all n by n doubly stochastic matrices and let m be a positive intege...
We consider the convex set Γm,n of m×n stochastic matrices and the convex set Γπm,n ⊂Γm,n of m×n cen...
AbstractDoubly stochastic matrices are defined which have entries from an arbitrary vector space V. ...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
AbstractA study is made of the extreme points of the convex set of doubly stochastic completely posi...
AbstractWe show that, under certain conditions, Birkhoff's theorem on doubly stochastic matrices rem...
G.D Birkhoff characterized the set of extreme doubly stochastic matrices. Namely his result states a...
G.D Birkhoff characterized the set of extreme doubly stochastic matrices. Namely his result states a...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
We investigate convex polytopes of doubly stochastic matrices having special structures: symmetric, ...
The topic of this thesis is linear optimization in relation to doubly stochastic matrices, which con...
AbstractLet Ω denote the set of all n by n doubly stochastic matrices and let m be a positive intege...
We consider the convex set Γm,n of m×n stochastic matrices and the convex set Γπm,n ⊂Γm,n of m×n cen...
AbstractDoubly stochastic matrices are defined which have entries from an arbitrary vector space V. ...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
The classic Birkhoff–von Neumann theorem states that the set of doubly stochastic matrices is the co...
AbstractA study is made of the extreme points of the convex set of doubly stochastic completely posi...
AbstractWe show that, under certain conditions, Birkhoff's theorem on doubly stochastic matrices rem...
G.D Birkhoff characterized the set of extreme doubly stochastic matrices. Namely his result states a...
G.D Birkhoff characterized the set of extreme doubly stochastic matrices. Namely his result states a...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
We investigate convex polytopes of doubly stochastic matrices having special structures: symmetric, ...
The topic of this thesis is linear optimization in relation to doubly stochastic matrices, which con...
AbstractLet Ω denote the set of all n by n doubly stochastic matrices and let m be a positive intege...
We consider the convex set Γm,n of m×n stochastic matrices and the convex set Γπm,n ⊂Γm,n of m×n cen...
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