Quantitative and qualitative games / Austin Blaquière, Françoise Gérard, George Leitmann.

By:

Blaquière, Austin

Contributor(s):

Series: Mathematics in science and engineering ; v. 58.1969Description: 1 online resource (xi, 172 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780080955674
0080955673

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Print version:: Quantitative and qualitative games.LOC classification:

QA269 .B53 1969eb

Online resources:

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Contents:

1. Games and plays -- 2. Some geometric aspects of quantitative games -- 3. Differential quantitative games -- 4. Multistage quantitative games -- 5. Some geometric aspects of qualitative games -- 6. Differential qualitative games -- 7. A connection between qualitative and quantitative games.

Action note:

digitized 2011 HathiTrust Digital Library committed to preserve

Summary: In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank mat.

Item type:

eBooks

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Includes bibliographical references (pages 165-167) and indexes.

Print version record.

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Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2011. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank mat.

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