The Fractional Calculus: Theory and Applications of Differentiation and Integration to Arbitrary Order (Mathematics in Science and Engineering, Volume 111)

Keith B. Oldham, Jerome Spanier

ISBN 10: 0125255500 / ISBN 13: 9780125255509

Editore: Elsevier Science, Academic Press, 1974

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Red cloth boards, with gilt titles to front and spine and no DW. Small name inside, but an otherwise tight, bright and clean copy with no foxing. 234pp. (16x23.5cm). Please contact us for any more information. Codice articolo 7195

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Titolo: The Fractional Calculus: Theory and ...

Casa editrice: Elsevier Science, Academic Press

Data di pubblicazione: 1974

Legatura: Hardcover

Condizione: Near Fine

Edizione: 1st Edition

Descrizione articolo

Riassunto:

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 matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

- Best operator approximation,
- Non-Lagrange interpolation,
- Generic Karhunen-Loeve transform
- Generalised low-rank matrix approximation
- Optimal data compression
- Optimal nonlinear filtering