| dc.creator |
Han, Deren |
|
| dc.date |
2003-12-14T22:39:43Z |
|
| dc.date |
2003-12-14T22:39:43Z |
|
| dc.date |
2004-01 |
|
| dc.date.accessioned |
2013-10-09T02:32:56Z |
|
| dc.date.available |
2013-10-09T02:32:56Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/3883 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
The class of POP (Polynomial Optimization Problems) covers a wide rang of optimization problems such as 0 - 1 integer linear and quadratic programs, nonconvex quadratic programs and bilinear matrix inequalities. In this paper, we review some methods on solving the unconstraint case: minimize a real-valued polynomial p(x) : Rn â R, as well the constraint case: minimize p(x) on a semialgebraic set K, i.e., a set defined by polynomial equalities and inequalities. We also summarize some questions that we are currently considering. |
|
| dc.description |
Singapore-MIT Alliance (SMA) |
|
| dc.format |
121672 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
High Performance Computation for Engineered Systems (HPCES); |
|
| dc.subject |
Polynomial Optimization Problems |
|
| dc.subject |
Semidefinite Programming |
|
| dc.subject |
Second-Order-Cone-Programming |
|
| dc.subject |
LP relaxation |
|
| dc.title |
Global Optimization with Polynomials |
|
| dc.type |
Article |
|