AbstractA convex quadratic program has Kuhn-Tucker conditions which are necessary and sufficient, and suggest a dual problem. These conditions may be formulated in a convenient schematic notation which leads to a finite class of equivalent problems displaying Cottle's duality. An inductive argument shows how the original problem may be reduced in a finite number of steps to an equivalent problem which is trivial. The fundamental duality theorem for convex quadratic programs follows directly
The duality principle provides that optimization problems may be viewed from either of two perspecti...
<p><span>The duality principle provides that optimization problems may be viewed from either of two ...
AbstractThis expository note develops Rockafellar's (1968, 1970) conjugate-duality theory for convex...
AbstractA convex quadratic program has Kuhn-Tucker conditions which are necessary and sufficient, an...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
Cataloged from PDF version of article.In this paper a simple derivation of duality is presented for ...
In order to solve more easily combinatorial optimization problems, one way is to find theoretically ...
In order to solve more easily combinatorial optimization problems, one way is to find theoretically ...
Abstract. The famous Frank–Wolfe theorem ensures attainability of the op-timal value for quadratic o...
International audienceIn order to solve more easily combinatorial optimization problems, one way is ...
International audienceIn order to solve more easily combinatorial optimization problems, one way is ...
We extend in two ways the standard Karush–Kuhn–Tucker optimality conditions to problems with a conve...
We extend in two ways the standard Karush–Kuhn–Tucker optimality conditions to problems with a conve...
We extend in two ways the standard Karush–Kuhn–Tucker optimality conditions to problems with a conve...
The duality principle provides that optimization problems may be viewed from either of two perspecti...
<p><span>The duality principle provides that optimization problems may be viewed from either of two ...
AbstractThis expository note develops Rockafellar's (1968, 1970) conjugate-duality theory for convex...
AbstractA convex quadratic program has Kuhn-Tucker conditions which are necessary and sufficient, an...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
Cataloged from PDF version of article.In this paper a simple derivation of duality is presented for ...
In order to solve more easily combinatorial optimization problems, one way is to find theoretically ...
In order to solve more easily combinatorial optimization problems, one way is to find theoretically ...
Abstract. The famous Frank–Wolfe theorem ensures attainability of the op-timal value for quadratic o...
International audienceIn order to solve more easily combinatorial optimization problems, one way is ...
International audienceIn order to solve more easily combinatorial optimization problems, one way is ...
We extend in two ways the standard Karush–Kuhn–Tucker optimality conditions to problems with a conve...
We extend in two ways the standard Karush–Kuhn–Tucker optimality conditions to problems with a conve...
We extend in two ways the standard Karush–Kuhn–Tucker optimality conditions to problems with a conve...
The duality principle provides that optimization problems may be viewed from either of two perspecti...
<p><span>The duality principle provides that optimization problems may be viewed from either of two ...
AbstractThis expository note develops Rockafellar's (1968, 1970) conjugate-duality theory for convex...