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Synopsis
This monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Markov model used in bioinformatics or speech recognition or when analyzing the dynamics of asset pricing provided by the nonlinear models of financial mathematics.
Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods. Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated.
The text covers all the points necessary for the understanding and use of polynomial approximation from the mathematical fundamentals, through algorithm development to the application of the method in, for instance, aeroplane flight dynamics or biological sequence analysis. The technical material is illustrated by the use of worked examples and methods for training the algorithms are included.
Dynamic Systems Models provides researchers in aerospatial engineering, bioinformatics and financial mathematics (as well as computer scientists interested in any of these fields) with a reliable and effective numerical method for nonlinear estimation and solving boundary problems when carrying out control design. It will also be of interest to academic researchers studying inverse problems and their solution.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2016
- ISBN 10 3319040359
- ISBN 13 9783319040356
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages221
- EditorBorodovsky Mark
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Dynamic Systems Models: New Methods of Parameter and State Estimation
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Dynamic Systems Models. New Methods of Parameter and State Estimation.
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Dynamic Systems Models : New Methods of Parameter and State Estimation
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ISBN 10: 3319040359
ISBN 13: 9783319040356
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Dynamic Systems Models
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Dynamic Systems Models: New Methods of Parameter and State Estimation
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Dynamic Systems Models
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Dynamic Systems Models
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Dynamic Systems Models
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Springer International Publishing Mrz 2016, 2016
ISBN 10: 3319040359
ISBN 13: 9783319040356
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Markov model used in bioinformatics or speech recognition or when analyzing the dynamics of asset pricing provided by the nonlinear models of financial mathematics.Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods. Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated. The text covers all the points necessary for the understanding and use of polynomial approximation from the mathematical fundamentals, through algorithm development to the application of the method in, for instance, aeroplane flight dynamics or biological sequence analysis. The technical material is illustrated by the use of worked examples and methods for training the algorithms are included.Dynamic Systems Models provides researchers in aerospatial engineering, bioinformatics and financial mathematics (as well as computer scientists interested in any of these fields) with a reliable and effective numerical method for nonlinear estimation and solving boundary problems when carrying out control design. It will also be of interest to academic researchers studying inverse problems and their solution. 224 pp. Englisch. Seller Inventory # 9783319040356
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Dynamic Systems Models : New Methods of Parameter and State Estimation
Published by
Springer International Publishing, 2016
ISBN 10: 3319040359
ISBN 13: 9783319040356
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Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Markov model used in bioinformatics or speech recognition or when analyzing the dynamics of asset pricing provided by the nonlinear models of financial mathematics.Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods. Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated. The text covers all the points necessary for the understanding and use of polynomial approximation from the mathematical fundamentals, through algorithm development to the application of the method in, for instance, aeroplane flight dynamics or biological sequence analysis. The technical material is illustrated by the use of worked examples and methods for training the algorithms are included.Dynamic Systems Models provides researchers in aerospatial engineering, bioinformatics and financial mathematics (as well as computer scientists interested in any of these fields) with a reliable and effective numerical method for nonlinear estimation and solving boundary problems when carrying out control design. It will also be of interest to academic researchers studying inverse problems and their solution. Seller Inventory # 9783319040356
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Dynamic Systems Models
Published by
Springer International Publishing, 2016
ISBN 10: 3319040359
ISBN 13: 9783319040356
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Lays down a new method of solving inverse problems equations with weaker requirements than existing methodsReinforces basic principles and demonstrates methodical efficiency using non-trivial applied examplesRelevant to many applications fr. Seller Inventory # 38398981
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