Inverse Problems: Mathematical and Analy
โ Alexander G. Ramm
๐ Library
๐
2004
๐ Springer
๐ English
โฆ LIBER โฆ
๐
Inverse Problems: Mathematical and Analytical Techniques with Applications to Engineering
โ Scribed by Alexander G. Ramm
- Publisher
- Springer, Berlin
- Year
- 1982
- Tongue
- English
- Leaves
- 462
- Edition
- 1
- Category
- Library
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โฆ Synopsis
Inverse Problems is a monograph which contains a self-contained presentation of the theory of several major inverse problems and the closely related results from the theory of ill-posed problems. The book is aimed at a large audience which include graduate students and researchers in mathematical, physical, and engineering sciences and in the area of numerical analysis.
๐ SIMILAR VOLUMES
Inverse Problems: Mathematical and Analy
โ Alexander G. Ramm
๐ Library
๐
2004
๐ Springer
๐ English
Inverse Problems: Mathematical and Analy
โ Alexander G. Ramm
๐ Library
๐
2004
๐ Springer
๐ English
<P><STRONG>Inverse Problems is a monograph which contains a self-contained presentation of the theory of several major inverse problems and the closely related results from the theory of ill-posed problems. The book is aimed at a large audience which include graduate students and researchers in mat
Inverse Problems: Mathematical and Analy
โ Alexander G. Ramm (auth.)
๐ Library
๐
2005
๐ Springer US
๐ English
<p><P>Inverse problems are the problems that consist of finding an unknown property of an object or a medium from the observation or a response of this object or a medium to a probing signal. Thus the theory of inverse problems yields a theoretical basis for remote sensing and non-destructive evalua
Inverse Problems: Mathematical and Analy
โ Alexander G. Ramm
๐ Library
๐
2004
๐ Springer
๐ English
Inverse Problems: Mathematical and Analy
โ Ramm A.G.
๐ Library
๐
2005
๐ English
Inverse problems are problems that consist of finding an unknown property of an object or medium through the observation of a response from this object or medium to a probing signal. Thus, the theory of inverse problems yields a theoretical basis for remote sensing and non-destructive evaluation. Fo