AbstractLinear programming is formulated with the vector variable replaced by a matrix variable, with the inner product defined using trace of a matrix. The theorems of Motzkin, Farkas (both homogeneous and inhomogeneous forms), and linear programming duality thus extend to matrix variables. Duality theorems for linear programming over complex spaces, and over quaternion spaces, follow as special cases
Abstract—Several important problems in control theory can be reformulated as semidefinite programmin...
ABSTRACT: We study a problem of linear programming in the setting of a vector space over a linearly ...
textabstractThis paper presents a unified study of duality properties for the problem of minimizing ...
AbstractWe apply a recent characterization of optimality for the abstract convex program with a cone...
The main purpose of this paper is to extend the John theorem on nonlinear programming with inequalit...
AbstractIn this paper duality theory for infinite dimensional linear programs is discussed in a topo...
Farkas’ lemma is a celebrated result on the solutions of systems of linear inequalities, which finds...
We systematically study how properties of abstract operator systems help classifying linear matrix i...
Strong duality for conic linear problems $(P)$ and $(D)$ generated by convex cones $S\subset X$, $T\...
AbstractThe solvability of linear equations with solutions in the interior of a closed convex cone i...
AbstractPrevious work [3, 4, 5] on solvability theorems for linear equations over cones and cones wi...
AbstractThe intersections of the nonnegative orthant in En with pairs of complementary orthogonal su...
AbstractThis paper develops new duality relations in linear programming which give new economic inte...
Linear programming is one of the most successful disciplines within the eld of operations research. ...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
Abstract—Several important problems in control theory can be reformulated as semidefinite programmin...
ABSTRACT: We study a problem of linear programming in the setting of a vector space over a linearly ...
textabstractThis paper presents a unified study of duality properties for the problem of minimizing ...
AbstractWe apply a recent characterization of optimality for the abstract convex program with a cone...
The main purpose of this paper is to extend the John theorem on nonlinear programming with inequalit...
AbstractIn this paper duality theory for infinite dimensional linear programs is discussed in a topo...
Farkas’ lemma is a celebrated result on the solutions of systems of linear inequalities, which finds...
We systematically study how properties of abstract operator systems help classifying linear matrix i...
Strong duality for conic linear problems $(P)$ and $(D)$ generated by convex cones $S\subset X$, $T\...
AbstractThe solvability of linear equations with solutions in the interior of a closed convex cone i...
AbstractPrevious work [3, 4, 5] on solvability theorems for linear equations over cones and cones wi...
AbstractThe intersections of the nonnegative orthant in En with pairs of complementary orthogonal su...
AbstractThis paper develops new duality relations in linear programming which give new economic inte...
Linear programming is one of the most successful disciplines within the eld of operations research. ...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
Abstract—Several important problems in control theory can be reformulated as semidefinite programmin...
ABSTRACT: We study a problem of linear programming in the setting of a vector space over a linearly ...
textabstractThis paper presents a unified study of duality properties for the problem of minimizing ...