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Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics)

Boris P. Bezruchko, Dmitry A. Smirnov




[PDF.zj19] Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics)

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 | #4943176 in Books |  2010-09-07 | Original language:English | PDF # 1 |  9.46 x1.06 x6.36l,1.44 | File type: PDF | 410 pages

||0 of 0 people found the following review helpful.| So far only 3 stars|By Book_Reader|It is a rather big book but I could not find answers to questions that I had in mind.
Nothing could impress me or raise big interest.
So far only 3 stars.| ||From the reviews:|“Extracting knowledge from time series is a very neat title–it exactly encapsulates the topic which the authors hope to cover in this volume. … This is admirable, and the result is valuable. … This is overall a usef

Mathematical modelling is ubiquitous. Almost every book in exact science touches on mathematical models of a certain class of phenomena, on more or less speci?c approaches to construction and investigation of models, on their applications, etc. As many textbooks with similar titles, Part I of our book is devoted to general qu- tions of modelling. Part II re?ects our professional interests as physicists who spent much time to investigations in the ?eld of non-linear dynam...

You can specify the type of files you want, for your device.Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics)   |  Boris P. Bezruchko, Dmitry A. Smirnov. A good, fresh read, highly recommended.

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