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Ulmann, B. (2020). Analog and hybrid computer programming. In Analog and Hybrid Computer Programming De Gruyter Oldenbourg. 
Resource type: Book Article
BibTeX citation key: Ulmann2020
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Categories: Artificial Intelligence, Computer Science, Data Sciences, Decision Theory, Engineering, General, Mathematics
Subcategories: Analytics, Big data, Edge AI
Creators: Ulmann
Publisher: De Gruyter Oldenbourg
Collection: Analog and Hybrid Computer Programming
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Abstract
Analog and hybrid computing recently have gained much interest as analog computers can outperform classical stored-program digital computers in some areas by orders of magnitude. This book gives a thorough introduction to analog and hybrid computer programming by means numerous worked examples from various areas. It is based on a number of introductory and advanced lectures on this topic delivered by the author at several universities.
  
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