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portada Parameter Estimation for Pdes Using Stochastic Methods
Type
Physical Book
Language
English
Pages
152
Format
Paperback
ISBN13
9783659927324

Parameter Estimation for Pdes Using Stochastic Methods

Roxana Elena Tanase (Author) · Lap Lambert Academic Publishing · Paperback

Parameter Estimation for Pdes Using Stochastic Methods - Roxana Elena Tanase

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Synopsis "Parameter Estimation for Pdes Using Stochastic Methods"

The aim of this book is to compare the efficiency of different algorithms on estimating parameters that arise in partial differential equations: Kalman Filters (Ensemble Kalman Filter, Stochastic Collocation Kalman Filter, Karhunen-Lo eve Ensemble Kalman Filter, Karhunen- Lo eve Stochastic Collocation Kalman Filter), Markov-Chain Monte Carlo sampling schemes and Adjoint variable-based method. We also present the theoretical results for stochastic optimal control for problems constrained by partial differential equations with random input data in a mixed finite element form. We verify experimentally with numerical simulations using Adjoint variable-based method with various identification objectives that either minimize the expectation of a tracking cost functional or minimize the difference of desired statistical quantities in the appropriate Lp norm.

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