Matches in SemOpenAlex for { <https://semopenalex.org/work/W2512040523> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2512040523 abstract "The efficient and reliable estimation of model parameters is important for the simulation and optimization of physical processes. Most models contain variables that have to be adjusted, e.g. in the form of material properties, and the uncertainty of state estimates and predictions is directly linked to the uncertainty of these parameters. Therefore, efficient methods for parameter estimation and uncertainty quantification are required. If the physical system is spatially highly heterogeneous, then the number of model parameters can be very large. At the same time, imaging techniques and time series can provide a large number of measurements for model calibration. Many of the available methods become inefficient or outright unfeasible if both the number of model parameters and the number of state observations are large.This thesis is concerned with the development of methods that remain efficient when a large number of measurements is used to estimate an even larger number of model parameters. The main result is a special preconditioned Conjugate Gradients method that can achieve both quasilinear complexity in the number of parameters and pseudo-constant complexity in the number of measurements. The thesis also provides randomized methods that allow linearized uncertainty quantification for large systems, taking redundancy in the measurements into account if applicable." @default.
- W2512040523 created "2016-09-16" @default.
- W2512040523 creator A5090541171 @default.
- W2512040523 date "2016-01-01" @default.
- W2512040523 modified "2023-09-26" @default.
- W2512040523 title "Preconditioned and Randomized Methods for Efficient Bayesian Inversion of Large Data Sets and their Application to Flow and Transport in Porous Media" @default.
- W2512040523 doi "https://doi.org/10.11588/heidok.00021789" @default.
- W2512040523 hasPublicationYear "2016" @default.
- W2512040523 type Work @default.
- W2512040523 sameAs 2512040523 @default.
- W2512040523 citedByCount "0" @default.
- W2512040523 crossrefType "dissertation" @default.
- W2512040523 hasAuthorship W2512040523A5090541171 @default.
- W2512040523 hasConcept C105795698 @default.
- W2512040523 hasConcept C109007969 @default.
- W2512040523 hasConcept C111919701 @default.
- W2512040523 hasConcept C11413529 @default.
- W2512040523 hasConcept C126255220 @default.
- W2512040523 hasConcept C151730666 @default.
- W2512040523 hasConcept C152124472 @default.
- W2512040523 hasConcept C165838908 @default.
- W2512040523 hasConcept C167928553 @default.
- W2512040523 hasConcept C1893757 @default.
- W2512040523 hasConcept C32230216 @default.
- W2512040523 hasConcept C33923547 @default.
- W2512040523 hasConcept C41008148 @default.
- W2512040523 hasConcept C86803240 @default.
- W2512040523 hasConceptScore W2512040523C105795698 @default.
- W2512040523 hasConceptScore W2512040523C109007969 @default.
- W2512040523 hasConceptScore W2512040523C111919701 @default.
- W2512040523 hasConceptScore W2512040523C11413529 @default.
- W2512040523 hasConceptScore W2512040523C126255220 @default.
- W2512040523 hasConceptScore W2512040523C151730666 @default.
- W2512040523 hasConceptScore W2512040523C152124472 @default.
- W2512040523 hasConceptScore W2512040523C165838908 @default.
- W2512040523 hasConceptScore W2512040523C167928553 @default.
- W2512040523 hasConceptScore W2512040523C1893757 @default.
- W2512040523 hasConceptScore W2512040523C32230216 @default.
- W2512040523 hasConceptScore W2512040523C33923547 @default.
- W2512040523 hasConceptScore W2512040523C41008148 @default.
- W2512040523 hasConceptScore W2512040523C86803240 @default.
- W2512040523 hasLocation W25120405231 @default.
- W2512040523 hasOpenAccess W2512040523 @default.
- W2512040523 hasPrimaryLocation W25120405231 @default.
- W2512040523 hasRelatedWork W181822487 @default.
- W2512040523 hasRelatedWork W1968048058 @default.
- W2512040523 hasRelatedWork W2022765825 @default.
- W2512040523 hasRelatedWork W2041984561 @default.
- W2512040523 hasRelatedWork W2054497064 @default.
- W2512040523 hasRelatedWork W2181561723 @default.
- W2512040523 hasRelatedWork W2243395155 @default.
- W2512040523 hasRelatedWork W244566484 @default.
- W2512040523 hasRelatedWork W2466623766 @default.
- W2512040523 hasRelatedWork W2886360120 @default.
- W2512040523 hasRelatedWork W2961564473 @default.
- W2512040523 hasRelatedWork W2976620874 @default.
- W2512040523 hasRelatedWork W3109718058 @default.
- W2512040523 hasRelatedWork W3209832743 @default.
- W2512040523 hasRelatedWork W41035799 @default.
- W2512040523 hasRelatedWork W573001866 @default.
- W2512040523 hasRelatedWork W1542278181 @default.
- W2512040523 hasRelatedWork W2140729212 @default.
- W2512040523 hasRelatedWork W2346495305 @default.
- W2512040523 hasRelatedWork W3043091653 @default.
- W2512040523 isParatext "false" @default.
- W2512040523 isRetracted "false" @default.
- W2512040523 magId "2512040523" @default.
- W2512040523 workType "dissertation" @default.