Real-number Modeling
Real-Number Modeling is a formal modeling methodology in mixed-signal system design that represents signal behavior using continuous real-valued variables to distinguish it from discrete or quantized modeling approaches.
30
Publications
2K
Citations
61
Authors
37
Institutions
Publications per year
2017–2026
5
Variants
Rnm
Parents
30
James Renegar · Journal of Symbolic Computation · 1992 · 622 citations
Single Precision in Weather Forecasting Models: An Evaluation with the IFS
Filip Váňa, Peter D. Düben, Simon Lang et al. · Monthly Weather Review · 2016 · 126 citations · Full text
Ruling Out Real-Valued Standard Formalism of Quantum Theory
Ming-Cheng Chen, Can Wang, Fengming Liu et al. · Physical Review Letters · 2022 · 112 citations · Full text
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37

Cornell University
Ithaca, United States
4 h-index
4 publications
993 citations
RWTH Aachen University
Aachen, Germany
3 h-index
3 publications
62 citations
Columbia University
New York, United States
2 h-index
2 publications
46 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
2 h-index
4 publications
66 citations
Infineon Technologies (Germany)
Munich, Germany
2 h-index
7 publications
96 citations
Hitachi (Japan)
Tokyo, Japan
1 h-index
1 publications
11 citations
Yale University
New Haven, United States
1 h-index
1 publications
35 citations
SUNY College of Environmental Science and Forestry
Syracuse, United States
1 h-index
1 publications
35 citations
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3 publications · 951 citations
3
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3 publications · 45 citations
3
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2 publications · 89 citations
2
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1 publications · 126 citations
1
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ENTCS · 1 publications · 26 citations
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