Applied Time Series Analysis and Innovative Computing
Sio-Iong Ao
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Naturwissenschaften, Medizin, Informatik, Technik / Analysis
Beschreibung
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.
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Dynamic Fourier Analysis, algorithms, databases, Random Coefficient Regression, design, Computing Algorithms, analysis, Discrete Fourier Transform, Power Spectrum, Frequency Domain, Grid Computing