Computational methods for random differential equations: probability density function and estimation of the parameters

Computational methods for random differential equations: probability density function and estimation of the parameters

[EN] Mathematical models based on deterministic differential equations do not take into account the inherent uncertainty of the physical phenomenon (in a wide sense) under study. In addition, inaccuracies in the collected data often arise due to errors in the measurements. It thus becomes necessary...

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Bibliographic Details
Main Author: Calatayud Gregori, Julia
Other Authors: Cortés López, Juan Carlos
Format: Doctoral Thesis
Language:English
Published: Universitat Politècnica de València 2020
Subjects:
Random ordinary and partial differential equation
Uncertainty quantification
Probability density function
Spectral expansions
Bayesian inverse problem
MATEMATICA APLICADA
Online Access:http://hdl.handle.net/10251/138396

Internet

http://hdl.handle.net/10251/138396

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