東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Model calibration and parameter esti...

Sun, Alexander.

Linked to FindBook

Google Book

Amazon

博客來

Model calibration and parameter estimation = for environmental and water resource systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Model calibration and parameter estimation/ by Ne-Zheng Sun, Alexander Sun.
Reminder of title:	for environmental and water resource systems /
Author:	Sun, Ne-Zheng.
other author:	Sun, Alexander.
Published:	New York, NY :Springer New York : : 2015.,
Description:	xxviii, 621 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- The Classical Inverse Problem -- The Gauss-Newton Method -- Multiobjective Inversion and Regularization -- Statistical Methods for Parameter Estimation -- Model Differentiation -- Model Dimension Reduction -- Development of Data-Driven Models -- Data Assimilation for Inversion -- Model Uncertainty Quantification -- Optimal Experimental Design -- Goal-Oriented Modeling.
Contained By:	Springer eBooks
Subject:	Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-1-4939-2323-6
ISBN:	9781493923236 (electronic bk.)

Model calibration and parameter estimation = for environmental and water resource systems /
Sun, Ne-Zheng.

Model calibration and parameter estimationfor environmental and water resource systems /[electronic resource] :by Ne-Zheng Sun, Alexander Sun. - New York, NY :Springer New York :2015. - xxviii, 621 p. :ill. (some col.), digital ;24 cm.

Introduction -- The Classical Inverse Problem -- The Gauss-Newton Method -- Multiobjective Inversion and Regularization -- Statistical Methods for Parameter Estimation -- Model Differentiation -- Model Dimension Reduction -- Development of Data-Driven Models -- Data Assimilation for Inversion -- Model Uncertainty Quantification -- Optimal Experimental Design -- Goal-Oriented Modeling.

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.

ISBN: 9781493923236 (electronic bk.)

Standard No.: 10.1007/978-1-4939-2323-6doiSubjects--Topical Terms:

522882
Mathematical models.

LC Class. No.: QA401

Dewey Class. No.: 003.3

Model calibration and parameter estimation = for environmental and water resource systems /
LDR:03120nmm a2200337 a 4500 001 2009077
003 DE-He213
005 20160222143945.0
006 m d
007 cr nn 008maaau
008 160311s2015 nyu s 0 eng d
020 $a 9781493923236 (electronic bk.)
020 $a 9781493923229 (paper)
024 7 $a 10.1007/978-1-4939-2323-6 $2 doi
035 $a 978-1-4939-2323-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA401
072 7 $a PBWH $2 bicssc
072 7 $a TBJ $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a TEC009060 $2 bisacsh
082 0 4 $a 003.3 $2 23
090 $a QA401 $b .S957 2015
100 1 $a Sun, Ne-Zheng. $3 2157919
245 1 0 $a Model calibration and parameter estimation $h [electronic resource] : $b for environmental and water resource systems / $c by Ne-Zheng Sun, Alexander Sun.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2015.
300 $a xxviii, 621 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- The Classical Inverse Problem -- The Gauss-Newton Method -- Multiobjective Inversion and Regularization -- Statistical Methods for Parameter Estimation -- Model Differentiation -- Model Dimension Reduction -- Development of Data-Driven Models -- Data Assimilation for Inversion -- Model Uncertainty Quantification -- Optimal Experimental Design -- Goal-Oriented Modeling.
520 $a 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.
650 0 $a Mathematical models. $3 522882
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Hydrogeology. $3 542813
650 2 4 $a Math. Applications in Chemistry. $3 890896
700 1 $a Sun, Alexander. $3 2157920
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4939-2323-6
950 $a Mathematics and Statistics (Springer-11649)