Engineers combine measured data, multi-level behavioral models, and simulation tools to predict real-world performance across ...
This application note describes system-level characterization and modeling techniques for radio frequency (RF) and microwave subsystem components. It illustrates their use in a mixed-signal, ...
Industrial simulation and emulation are powerful but still underemployed techniques for designing, developing, and testing better automation solutions and machines. When used as a central part of a ...
Electricity flow is generally invisible, silent, and not something that most humans want to touch, so understanding how charge moves around can be fairly unintuitive at first. There are plenty of ...
R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...
R. S. MacLeod, J. G. Stinstra, S. Lew, R. T. Whitaker, D. J. Swenson, M. J. Cole, J. Krüger, D. H. Brooks and C. R. Johnson Philosophical Transactions: Mathematical ...
Many of the most important concepts underlying both the science of climate change and our responses to it can be understood using systems thinking concepts. ‘Systems thinking’ approaches take a ...
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