Computational Methods for Modeling of Nonlinear Systems from the Elsevier Mathematics and Statistics collection. You will find it in the Media > Ebook > Mathematics and Statistics Mathematics (General) section of Elsevier’s website.
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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.
The book Computational Methods for Modeling of Nonlinear Systems (EAN: 9780080955193), published by Elsevier Science, is currently priced at 161.0 USD. You can get it in a Ebook format in a new condition.
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