When data meets math: a look at three emerging data reduction techniques that allow scientists to use data acquired from existing dynamic systems to rapidly generate mathematical models.(industry insight)

From: Scientific Computing & Instrumentation | Date: July 1, 2005| Author: | Copyright information

Data and numbers drive engineering and science and, over the past decades, we have accumulated a vast range of software and hardware tools to efficiently gather and analyze immense datasets. But is data enough? Increasingly, industry is realizing that data supported by rich mathematical models offers a potent combination for more sophisticated design techniques that drive innovation. Effective math models carry the physics and meaning behind the analysis--the fundamental relationships between the key design parameters --this determines how closely models can represent reality and ...

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