Random Integral Equations with Applications to Life Sciences and Engineering

Tsokos, Chris P. & padgett, W. J.

ISBN 10: 0127021507 / ISBN 13: 9780127021508

Verlag: Academic Press, New York, 1974

Beschreibung

278 pages. This is Volume 108 in the Mathematics in Science and Engineering series. ex library copy with call # inked out on spine, library sticker on rear cover, pocket on inside rear cover, typical though few internal stamps, includes 'withdrawn' stamps, NOT stamped on title page. ; Ex University Library; 6 1/4 x 9 1/4 ".

Bestandsnummer des Verkäufers 97440

Bibliografische Details

• Titel: Random Integral Equations with Applications to Life Sciences and Engineering
• Verlag: Academic Press, New York
• Erscheinungsjahr: 1974
• Sprache: Englisch
• ISBN-10: 0127021507
• ISBN-13: 9780127021508
• Einband: Hardcover
• Zustand: Very Good with no dust jacket
• Verkäuferkataloge:
  • Science, Physical Sciences, & Math

Über diesen Titel

Inhaltsangabe

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

Reseña del editor

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