Applied Time Series Analysis and Innovative Computing contains the applied time series analysis and innovative computing paradigms, with frontier application studies for the time series problems based on the recent works at the Oxford University Computing Laboratory, University of Oxford, the University of Hong Kong, and the Chinese University of Hong Kong. The monograph was drafted when the author was a post-doctoral fellow in Harvard School of Engineering and Applied Sciences, Harvard University. It provides a systematic introduction to the use of innovative computing paradigms as an investigative tool for applications in time series analysis. Applied Time Series Analysis and Innovative Computing offers the state of art of tremendous advances in applied time series analysis and innovative computing paradigms and also serves as an excellent reference work for researchers and graduate students working on applied time series analysis and innovative computing paradigms.
Inhaltsverzeichnis
Applied Time Series Analysis.- Advances in Innovative Computing Paradigms.- Real-Word Application I: Developing Innovative Computing Algorithms for Business Time Series.- Real-Word Application II: Developing Innovative Computing Algorithms for Biological Time Series.- Real-Word Application III: Developing Innovative Computing Algorithms for Astronomical Time Series.
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