| dc.creator |
Veroy, K. |
|
| dc.creator |
Leurent, T. |
|
| dc.creator |
Prud'homme, C. |
|
| dc.creator |
Rovas, D.V. |
|
| dc.creator |
Patera, Anthony T. |
|
| dc.date |
2003-12-23T02:50:32Z |
|
| dc.date |
2003-12-23T02:50:32Z |
|
| dc.date |
2002-01 |
|
| dc.date.accessioned |
2013-10-09T02:33:44Z |
|
| dc.date.available |
2013-10-09T02:33:44Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/4009 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
The optimization, control, and characterization of engineering components or systems require fast, repeated, and accurate evaluation of a partial-differential-equation-induced input-output relationship. We present a technique for the rapid and reliable prediction of linear-functional outputs of elliptic partial differential equations with affine parameter dependence. The method has three components: (i) rapidly convergent reduced{basis approximations; (ii) a posteriori error estimation; and (iii) off-line/on-line computational procedures. These components -- integrated within a special network architecture -- render partial differential equation solutions truly "useful": essentially real{time as regards operation count; "blackbox" as regards reliability; and directly relevant as regards the (limited) input-output data required. |
|
| dc.description |
Singapore-MIT Alliance (SMA) |
|
| dc.format |
319291 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
High Performance Computation for Engineered Systems (HPCES); |
|
| dc.subject |
reduced-basis |
|
| dc.subject |
a posteriori error estimation |
|
| dc.subject |
output bounds |
|
| dc.subject |
elliptic partial differential equations |
|
| dc.subject |
distributed simulations |
|
| dc.subject |
real-time computing |
|
| dc.title |
Reliable Real-Time Solution of Parametrized Elliptic Partial Differential Equations: Application to Elasticity |
|
| dc.type |
Article |
|