Accuracy of mathematical models: dimension reduction, homogenization, and simplification

By:

Repin, Sergey

Contributor(s):

Sauter, Stefan

Publication details: European Mathematical Society, 2020. Berlin:Edition: Vol.33Description: xvi, 313 p. : ill. ; hb, 25 cmISBN:

9783037192061

Subject(s):

DDC classification:

511.8 REP

Summary: The expansion of scientific knowledge and the development of technology are strongly connected with quantitative analysis of mathematical models. Accuracy and reliability are the key properties we wish to understand and control. This book presents a unified approach to the analysis of accuracy of deterministic mathematical models described by variational problems and partial differential equations of elliptic type. It is based on new mathematical methods developed to estimate the distance between a solution of a boundary value problem and any function in the admissible functional class associated with the problem in question. The theory is presented for a wide class of elliptic variational problems. It is applied to the investigation of modelling errors arising in dimension reduction, homogenization, simplification, and various conversion methods (penalization, linearization, regularization, etc.). A collection of examples illustrates the performance of error estimates.

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Item type	Current library	Collection	Call number	Copy number	Status	Notes	Date due	Barcode
Books	IIT Gandhinagar	General	511.8 REP (Browse shelf(Opens below))	1	Available	Currency: INR; Invoice no.: 120781; Invoice date: 02-03-2021		029991

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The expansion of scientific knowledge and the development of technology are strongly connected with quantitative analysis of mathematical models. Accuracy and reliability are the key properties we wish to understand and control. This book presents a unified approach to the analysis of accuracy of deterministic mathematical models described by variational problems and partial differential equations of elliptic type. It is based on new mathematical methods developed to estimate the distance between a solution of a boundary value problem and any function in the admissible functional class associated with the problem in question. The theory is presented for a wide class of elliptic variational problems. It is applied to the investigation of modelling errors arising in dimension reduction, homogenization, simplification, and various conversion methods (penalization, linearization, regularization, etc.). A collection of examples illustrates the performance of error estimates.

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