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Dynamic Systems Models: New Methods of Parameter and State Estimation
Josif A. Boguslavskiy
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Description for Dynamic Systems Models: New Methods of Parameter and State Estimation
Hardback. Dynamic Systems Models Num Pages: 203 pages, 12 colour tables, biography. BIC Classification: PBWH. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2016
Condition
New
Weight
489g
Number of Pages
201
Place of Publication
Cham, Switzerland
ISBN
9783319040356
SKU
V9783319040356
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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