Add to ORKGPOPs (Polynomial optimization problems or optimization problems with polynomial ob-jective alld constraints) represent a broad range of applications in science and engineering. Recently, an important theoretical development has been made by Lasserre [6] toward achieving optimal values of POPs. According to the paper [4], his method to obtain
A polynomial optimization problem (POP) consists of minimizing a multivariate real polynomial on a s...
A polynomial optimization problem (POP) consists of minimizing a multivariate real polynomial on a s...
• Main purpose of my talk is “an introduction to the recent development of SDP relaxation in connect...
Abstract. SparesPOP is a Matlab implementation of a sparse semidefinite programming (SDP) re-laxatio...
Abstract. SparesPOP is a MATLAB implementation of the sparse semidefinite programming (SDP) relaxati...
We present a survey on the sparse SDP relaxation proposed as a sparse variant of Lasserre’s SDP rela...
A polynomial SDP (semidefinite programs) minimizes a polynomial objective function over a feasible r...
Abstract. We present the moment cone (MC) relaxation and a hierarchy of sparse Lagrangian-SDP relaxa...
The objective of this tutorial paper is to study a general polynomial optimization problem using a s...
Abstract. To solve a partial differential equation (PDE) numerically, we formulate it as a polynomia...
Abstract. To solve a partial differential equation (PDE) numerically, we formulate it as a polynomia...
The goal of this thesis is to study a special nonlinear programming, namely, polynomial optimization...
We observe that in a simple one-dimensional polynomial optimization problem (POP), the `optimal' val...
International audienceA polynomial optimization problem (POP) consists of minimizing a multivariate ...
International audienceA polynomial optimization problem (POP) consists of minimizing a multivariate ...
A polynomial optimization problem (POP) consists of minimizing a multivariate real polynomial on a s...
A polynomial optimization problem (POP) consists of minimizing a multivariate real polynomial on a s...
• Main purpose of my talk is “an introduction to the recent development of SDP relaxation in connect...
Abstract. SparesPOP is a Matlab implementation of a sparse semidefinite programming (SDP) re-laxatio...
Abstract. SparesPOP is a MATLAB implementation of the sparse semidefinite programming (SDP) relaxati...
We present a survey on the sparse SDP relaxation proposed as a sparse variant of Lasserre’s SDP rela...
A polynomial SDP (semidefinite programs) minimizes a polynomial objective function over a feasible r...
Abstract. We present the moment cone (MC) relaxation and a hierarchy of sparse Lagrangian-SDP relaxa...
The objective of this tutorial paper is to study a general polynomial optimization problem using a s...
Abstract. To solve a partial differential equation (PDE) numerically, we formulate it as a polynomia...
Abstract. To solve a partial differential equation (PDE) numerically, we formulate it as a polynomia...
The goal of this thesis is to study a special nonlinear programming, namely, polynomial optimization...
We observe that in a simple one-dimensional polynomial optimization problem (POP), the `optimal' val...
International audienceA polynomial optimization problem (POP) consists of minimizing a multivariate ...
International audienceA polynomial optimization problem (POP) consists of minimizing a multivariate ...
A polynomial optimization problem (POP) consists of minimizing a multivariate real polynomial on a s...
A polynomial optimization problem (POP) consists of minimizing a multivariate real polynomial on a s...
• Main purpose of my talk is “an introduction to the recent development of SDP relaxation in connect...