Some successive approximation methods in control and oscillation theory

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-Lagrang...

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Bibliographic Details
Main Author: Falb, Peter L.
Other Authors: Jong, Jan L. de
Format: eBook
Language:English
Published: New York Academic Press 1969, 1969
Series:Mathematics in science and engineering
Subjects:
Online Access:
Collection: Elsevier eBook collection Mathematics - Collection details see MPG.ReNa
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245 0 0 |a Some successive approximation methods in control and oscillation theory  |c Peter L. Falb [and] Jan L. de Jong 
260 |a New York  |b Academic Press  |c 1969, 1969 
300 |a viii, 240 pages  |b illustrations 
505 0 |a Introduction -- Operator theoretic iterative methods -- Representation of boundary value problems -- Application to control problems -- Application to oscillation problems -- Some numerical examples 
505 0 |a Includes bibliographical references and index 
653 |a Approximation (Mathématiques) 
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653 |a Oscillatoren / gtt 
653 |a Control theory / fast / (OCoLC)fst00877085 
653 |a Itération (Mathématiques) 
653 |a Boundary value problems / fast / (OCoLC)fst00837122 
653 |a Problèmes aux limites / ram 
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653 |a Problèmes aux limites 
653 |a Iterative methods (Mathematics) / fast / (OCoLC)fst00980827 
653 |a Randwertproblem / gnd / http://d-nb.info/gnd/4048395-2 
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520 |a 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