Preconditioning for Bound Constrained Quadratic Programming Problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021142" target="_blank" >RIV/61989100:27240/08:00021142 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Preconditioning for Bound Constrained Quadratic Programming Problems
Original language description
Recently proposed MPRGP algorithm for the solution of strictly convex quadratic programming problems was proved to enjoy R-linear convergence in bounds on the spectrum. In this talk we consider two methods of preconditioning that improved the theoreticalrate of convergence including nonlinear steps, namely preconditioning by a conjugate projector and edge averaging for the variational inequalities discretized by FETI-DP domain decomposition. Theoretical results are confirmed by numerical experiments.
Czech name
—
Czech description
—
Classification
Type
M - Conference organization
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/1ET400300415" target="_blank" >1ET400300415: Modelling and simulation of complex technical problems:effective numerical algorithms and parallel implementation using new information technologie</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Event location
Boston, USA
Event country
US - UNITED STATES
Event starting date
—
Event ending date
—
Total number of attendees
300
Foreign attendee count
300
Type of event by attendee nationality
WRD - Celosvětová akce