Uncertainty Quantification and Predictive Computational Science
-15%
portes grátis
Uncertainty Quantification and Predictive Computational Science
A Foundation for Physical Scientists and Engineers
McClarren, Ryan G.
Springer International Publishing AG
12/2018
345
Dura
Inglês
9783319995243
15 a 20 dias
711
Descrição não disponível.
Part I Fundamentals.- Introduction.- Probability and Statistics Preliminaries.- Input Parameter Distributions.- Part II Local Sensitivity Analysis.- Derivative Approximations.- Regression Approximations.- Adjoint-based Local Sensitivity Analysis.- Part III Parametric Uncertainty Quantification.- From Sensitivity Analysis to UQ.- Sampling-Based UQ.- Reliability Methods.- Polynomial Chaos Methods.- Part IV Predictive Science.- Emulators and Surrogate Models.- Reduced Order Models.- Predictive Models.- Epistemic Uncertainties.- Appendices.- A. A cookbook of distributions.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
parametric uncertainty quantification;sensitivity analysis;Reliability Methods;Monte Carlo Methods;Polynomial Chaos Methods;Emulators and Surrogate Models;Reduced Order Models;Epistemic Uncertainties;Regressive Approximations;Derivative Approximations
Part I Fundamentals.- Introduction.- Probability and Statistics Preliminaries.- Input Parameter Distributions.- Part II Local Sensitivity Analysis.- Derivative Approximations.- Regression Approximations.- Adjoint-based Local Sensitivity Analysis.- Part III Parametric Uncertainty Quantification.- From Sensitivity Analysis to UQ.- Sampling-Based UQ.- Reliability Methods.- Polynomial Chaos Methods.- Part IV Predictive Science.- Emulators and Surrogate Models.- Reduced Order Models.- Predictive Models.- Epistemic Uncertainties.- Appendices.- A. A cookbook of distributions.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
