Abstract. This paper studies how to solve semi-infinite polynomial program-ming (SIPP) problems by semidefinite relaxation method. We first introduce two SDP relaxation methods for solving polynomial optimization problems with finitely many constraints. Then we propose an exchange algorithm with SDP relaxations to solve SIPP problems with compact index set. At last, we extend the proposed method to SIPP problems with noncompact index set via homogenization. Numerical results show that the algorithm is efficient in practice
We present an extension of the scalar polynomial optimization by sum-of squares de-compositions [5] ...
In this paper, we study a class of fractional semi-infinite polynomial programming problems involvin...
Semidefinite programming has been used successfully to build hierarchies of convex relaxations to ap...
The goal of this thesis is to study a special nonlinear programming, namely, polynomial optimization...
Abstract. A bilevel program is an optimization problem whose constraints involve another optimizatio...
We study how to solve semidefinite programming (SDP) relaxations for large scale polynomial optimiza...
A hierarchy of semidefinite programming (SDP) relaxations approximates the global optimum of polynom...
This paper is concerned with the study of an arbitrary polynomial optimization via a convex relaxati...
A hierarchy of semidefinite programming (SDP) relaxations approxi-mates the global optimum of polyno...
A polynomial SDP (semidefinite programs) minimizes a polynomial objective function over a feasible r...
We observe that in a simple one-dimensional polynomial optimization problem (POP), the `optimal' val...
A hierarchy of semidefinite programming (SDP) relaxations is proposed for solving a broad class of h...
The objective of this tutorial paper is to study a general polynomial optimization problem using a s...
In this paper, we present a new method to solve linear semi-infinite programming. This method bases ...
• Main purpose of my talk is “an introduction to the recent development of SDP relaxation in connect...
We present an extension of the scalar polynomial optimization by sum-of squares de-compositions [5] ...
In this paper, we study a class of fractional semi-infinite polynomial programming problems involvin...
Semidefinite programming has been used successfully to build hierarchies of convex relaxations to ap...
The goal of this thesis is to study a special nonlinear programming, namely, polynomial optimization...
Abstract. A bilevel program is an optimization problem whose constraints involve another optimizatio...
We study how to solve semidefinite programming (SDP) relaxations for large scale polynomial optimiza...
A hierarchy of semidefinite programming (SDP) relaxations approximates the global optimum of polynom...
This paper is concerned with the study of an arbitrary polynomial optimization via a convex relaxati...
A hierarchy of semidefinite programming (SDP) relaxations approxi-mates the global optimum of polyno...
A polynomial SDP (semidefinite programs) minimizes a polynomial objective function over a feasible r...
We observe that in a simple one-dimensional polynomial optimization problem (POP), the `optimal' val...
A hierarchy of semidefinite programming (SDP) relaxations is proposed for solving a broad class of h...
The objective of this tutorial paper is to study a general polynomial optimization problem using a s...
In this paper, we present a new method to solve linear semi-infinite programming. This method bases ...
• Main purpose of my talk is “an introduction to the recent development of SDP relaxation in connect...
We present an extension of the scalar polynomial optimization by sum-of squares de-compositions [5] ...
In this paper, we study a class of fractional semi-infinite polynomial programming problems involvin...
Semidefinite programming has been used successfully to build hierarchies of convex relaxations to ap...