The Classical Moment Problem And Some Related Questions In Analysis

Akhiezer, N.i.

ISBN 10: 1611976383 ISBN 13: 9781611976380

Editorial: SIAM - Society for Industrial and Applied Mathematics, 2020

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Sinopsis:

The mathematical theory for many application areas depends on a deep understanding of the theory of moments. These areas include medical imaging, signal processing, computer visualization, and data science. The problem of moments has also found novel applications to areas such as control theory, image analysis, signal processing, polynomial optimization, and statistical big data.

The Classical Moment Problem and Some Related Questions in Analysis presents:
- a unified treatment of the development of the classical moment problem from the late 19th century to the middle of the 20th century,
- important connections between the moment problem and many branches of analysis,
- a unified exposition of important classical results, which are difficult to read in the original journals, and
- a strong foundation for many areas in modern applied mathematics.

Acerca del autor: N. I. Akhiezer was a mathematician and professor at Kharkov University in the former USSR. The author of several books, Akhiezer made important contributions in approximation theory, constructive function theory, and the moment problem.

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T�tulo: The Classical Moment Problem And Some ...
Editorial: SIAM - Society for Industrial and Applied Mathematics
A�o de publicaci�n: 2020
Encuadernaci�n: Encuadernaci�n de tapa blanda
Condici�n: New

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The Classical Moment Problem and Some Related Questions in Analysis

Akhiezer, N. I.

Publicado por SIAM - Society for Industrial and Applied Mathematics, 2020

ISBN 10: 1611976383 ISBN 13: 9781611976380

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Soft cover. Condici�n: New. 8vo (23 cm), 342 pp.Laminated wrappers. "The mathematical theory for many application areas depends on a deep understanding of the theory of moments. These areas include medical imaging, signal processing, computer visualization, and data science. The problem of moments has also found novel applications to areas such as control theory, image analysis, signal processing, polynomial optimization, and statistical big data." (publisher's synopsis). N� de ref. del art�culo: 008543

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The Classical Moment Problem and Some Related Questions in Analysis

N.i. Akhiezer

Publicado por Society for Industrial & Applied Mathematics,U.S., 2021

ISBN 10: 1611976383 ISBN 13: 9781611976380

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Einband - flex.(Paperback). Condici�n: New. Presents a unified treatment of the development of the classical moment problem from the late 19th century to the middle of the 20th century important connections between the moment problem and branches of analysis and a unified exposition of important cl. N� de ref. del art�culo: 596415911

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The Classical Moment Problem and Some Related Questions in Analysis

N.i. Akhiezer

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ISBN 10: 1611976383 ISBN 13: 9781611976380

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The Classical Moment Problem and Some Related Questions in Analysis

Akhiezer, N.I.

Publicado por Society For Industrial & Applied Mathematics,U.S., 2020

ISBN 10: 1611976383 ISBN 13: 9781611976380

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The Classical Moment Problem and Some Related Questions in Analysis

N.I. Akhiezer

Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2021

ISBN 10: 1611976383 ISBN 13: 9781611976380

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Paperback. Condici�n: New. The mathematical theory for many application areas depends on a deep understanding of the theory of moments. These areas include medical imaging, signal processing, computer visualization, and data science. The problem of moments has also found novel applications to areas such as control theory, image analysis, signal processing, polynomial optimization, and statistical big data.The Classical Moment Problem and Some Related Questions in Analysis presents:a unified treatment of the development of the classical moment problem from the late 19th century to the middle of the 20th century,important connections between the moment problem and many branches of analysis,a unified exposition of important classical results, which are difficult to read in the original journals, anda strong foundation for many areas in modern applied mathematics. N� de ref. del art�culo: LU-9781611976380

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