Cena: |
Želi ovaj predmet: | 1 |
Stanje: | Polovan bez oštećenja |
Garancija: | Ne |
Isporuka: | Pošta Post Express Lično preuzimanje |
Plaćanje: | Tekući račun (pre slanja) Lično |
Grad: |
Beograd-Mirijevo, Beograd-Zvezdara |
Godina izdanja: Ostalo
ISBN: Ostalo
Jezik: Engleski
Oblast: Matematika
Autor: Strani
Quantitative and Qualitative Games by Austin Blaquiere, Francoise Gerard and George Leitmann, Volume 58
Imprint: Elsevier Science
Published Date: 1st January 1969
Stranica : 172
Stanje : Omot dosta dobar, unutrasnjot bez nekih mana, cista, odlicna za citanje, pecat biblioteke na naslovnoj i poslednjoj stranici.
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.
Key Features
Best operator approximation,
Non-Lagrange interpolation,
Generic Karhunen-Loeve transform
Generalised low-rank matrix approximation
Optimal data compression
Optimal nonlinear filtering
Readership
This book is intended for: Applied mathematicians and Electrical engineers And: Statisticians