Model calibration and parameter estimation: for environmental and water resource systems

This three-part book provides a comprehensive and systematic introduction to the development of useful models for complex systems. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hype...

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Detalles Bibliográficos
Autores principales: Sun, Ne-Zheng, Sun, Alexander
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4939-2323-6
http://cds.cern.ch/record/2040773
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author Sun, Ne-Zheng
Sun, Alexander
author_facet Sun, Ne-Zheng
Sun, Alexander
author_sort Sun, Ne-Zheng
collection CERN
description This three-part book provides a comprehensive and systematic introduction to the development of useful models for complex systems. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can useful for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for petroleum engineers, mining engineers, chemists, mechanical engineers, ecologists, biomedical engineers, applied mathematicians, and others who perform mathematical modeling.
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spelling cern-20407732021-04-21T20:08:32Zdoi:10.1007/978-1-4939-2323-6http://cds.cern.ch/record/2040773engSun, Ne-ZhengSun, AlexanderModel calibration and parameter estimation: for environmental and water resource systemsMathematical Physics and MathematicsThis three-part book provides a comprehensive and systematic introduction to the development of useful models for complex systems. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can useful for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for petroleum engineers, mining engineers, chemists, mechanical engineers, ecologists, biomedical engineers, applied mathematicians, and others who perform mathematical modeling.Springeroai:cds.cern.ch:20407732015
spellingShingle Mathematical Physics and Mathematics
Sun, Ne-Zheng
Sun, Alexander
Model calibration and parameter estimation: for environmental and water resource systems
title Model calibration and parameter estimation: for environmental and water resource systems
title_full Model calibration and parameter estimation: for environmental and water resource systems
title_fullStr Model calibration and parameter estimation: for environmental and water resource systems
title_full_unstemmed Model calibration and parameter estimation: for environmental and water resource systems
title_short Model calibration and parameter estimation: for environmental and water resource systems
title_sort model calibration and parameter estimation: for environmental and water resource systems
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4939-2323-6
http://cds.cern.ch/record/2040773
work_keys_str_mv AT sunnezheng modelcalibrationandparameterestimationforenvironmentalandwaterresourcesystems
AT sunalexander modelcalibrationandparameterestimationforenvironmentalandwaterresourcesystems