The potential of an observational data set for calibration of a computationally expensive computer model
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
The potential of an observational data set for calibration of a computationally expensive computer model ; volume:6 ; number:5 ; year:2013 ; pages:1715-1728
Geoscientific model development ; 6, Heft 5 (2013), 1715-1728
- Urheber
-
McNeall, D. J.
Challenor, P. G.
Gattiker, J. R.
Stone, E. J.
- DOI
-
10.5194/gmd-6-1715-2013
- URN
-
urn:nbn:de:101:1-201711064861
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- McNeall, D. J.
- Challenor, P. G.
- Gattiker, J. R.
- Stone, E. J.
Ähnliche Objekte (12)
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Parametric emulation and inference in computationally expensive integrated urban water quality simulators
Practical initialization of the Nelder–Mead method for computationally expensive optimization problems
A surrogate-based cooperative optimization framework for computationally expensive black-box problems
A multi-model assisted differential evolution algorithm for computationally expensive optimization problems
Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems
Computationally tractable classes of ordered sets
A computationally efficient method for hand–eye calibration
Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation
Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Parametric emulation and inference in computationally expensive integrated urban water quality simulators
Practical initialization of the Nelder–Mead method for computationally expensive optimization problems
A surrogate-based cooperative optimization framework for computationally expensive black-box problems
A multi-model assisted differential evolution algorithm for computationally expensive optimization problems
Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems
Computationally tractable classes of ordered sets
A computationally efficient method for hand–eye calibration
Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation
Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Parametric emulation and inference in computationally expensive integrated urban water quality simulators
Practical initialization of the Nelder–Mead method for computationally expensive optimization problems
A surrogate-based cooperative optimization framework for computationally expensive black-box problems
A multi-model assisted differential evolution algorithm for computationally expensive optimization problems
Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems
Computationally tractable classes of ordered sets
A computationally efficient method for hand–eye calibration
Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation