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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.fv34] Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics)

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 | #5351454 in Books |  2010-09-07 | Original language:English | PDF # 1 |  9.21 x.94 x6.14l,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.

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 easily download any file type for your device.Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics)   |  Boris P. Bezruchko, Dmitry A. Smirnov. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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