 
    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; andmethods 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 particularbranches, such as optimal filtering and information compression.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Zubal-Books, Since 1961, Cleveland, OH, Etats-Unis
Etat : Good. 322 pp., hardcover, ex library else text clean and binding tight (lacks dust jacket). - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. N° de réf. du vendeur ZB1301852
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Vendeur : PsychoBabel & Skoob Books, Didcot, Royaume-Uni
hardcover. Etat : Very Good. Etat de la jaquette : No Dust Jacket. Deep red cover with gold lettering. Library sticker on spine and front inside cover. Library stamps on page block, FEP, title page, back inside cover and various interior pages. Pages are all clean, unmarked and tight. A few very small, hardy noticeable stains on the cover, but otherwise in excellent condition. Ex-Library. N° de réf. du vendeur 148789
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