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An Introduction to Identification Problems via Functional Analysis - Alfredo Lorenzi

An Introduction to Identification Problems via Functional Analysis

Alfredo Lorenzi (Autor)

Media-Kombination
X, 240 Seiten | Ausstattung: Hardcover & eBook
2014 | Reprint 2014
De Gruyter
9783111829777 (ISBN)
CHF 419,95 inkl. MwSt
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The Inverse and Ill-Posed Problems Series is a series of monographs publishing postgraduate level information on inverse and ill-posed problems for an international readership of professional scientists and researchers. The series aims to publish works which involve both theory and applications in, e.g., physics, medicine, geophysics, acoustics, electrodynamics, tomography, and ecology.
this monographis based on two courses in computational mathematics and operative research, which were given by the author in recent years to doctorate and PhD students. The text focuses on an aspect of the theory of inverse problems, which is usually referred to as identification of parameters (numbers, vectors, matrices, functions) appearing in differential– or integrodifferential– equations. The parameters of such equations are either quite unknown or partially unknown, however knowledge about these is usually essential as they describe the intrinsic properties of the material or substance under consideration.

Alfreod Lorenzi, Università degli studi di Milano, Italy.

Reihe/Serie Inverse and Ill-Posed Problems Series ; 26
Zusatzinfo Includes a print version and an ebook
Verlagsort Berlin/Boston
Sprache englisch
Gewicht 750 g
Themenwelt Mathematik / Informatik Mathematik Allgemeines / Lexika
Mathematik / Informatik Mathematik Analysis
Schlagworte Differential Equations • Functional Analysis • Funktionalanalysis • Identification of Parameters • Identifikationsverfahren • integrodifferential equations • Inverse Problems • Inverse Problems; Identification of Parameters; Differential Equations; Integrodifferential Equations; Functional Analysis • Inverses Problem • Parameteridentifikation
ISBN-13 9783111829777 / 9783111829777
Zustand Neuware
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