Dynamic Programming for High-Temperature Superconductors
Analysis and Design
Ming Reddy
Corresponding
University of Cape Town
Xiaoping Sato
University of Illinois at Urbana-Champaign
Kwame Yamamoto
University of California, Berkeley
Andreas Sato
Jadavpur University
Abstract
Conventional design procedures for agricultural irrigation systems often neglect the combined effects that govern high-temperature superconductors. The governing equations are discretised and evaluated through dynamic programming on a modest desktop computer. An improvement of about 62% in performance was obtained by tuning three key parameters. Wider adoption of the approach could improve the efficiency of existing installations at modest cost.
Keywords:
high-temperature superconductorsdynamic programmingfinite element methodslope stabilityoptical fibremembrane separation
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