Data-Driven Modeling & Scientific Computation Kutz J. Nathan Professor of Applied Mathematics University of Washington
The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered…
Specifikacia Data-Driven Modeling & Scientific Computation Kutz J. Nathan Professor of Applied Mathematics University of Washington
The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give meaning to the data in the context of its scientific setting. A specific aim of this book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from:DT statistics,DT time-frequency analysis, andDT low-dimensional reductionsThe blend of these ideas provides meaningful insight into the data sets one is faced with in every scientific subject today, including those generated from complex dynamical systems. This is a particularly exciting