Strassen Asymptotics
Strassen Asymptotics is a theoretical framework in finite blocklength information theory that characterizes the asymptotic behavior of coding performance limits by refining central limit theorem approximations with higher-order statistical terms, specifically through the use of moderate deviations and Berry-Esseen-type bounds to capture non-Gaussian effects in finite-length regimes.
24
Publications
929
Citations
31
Authors
24
Institutions
Publications per year
2017–2026
2
24
New Fast Algorithms for Matrix Operations
Victor Y. Pan · SIAM Journal on Computing · 1980 · 79 citations
1–5 of 24
31
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1–5 of 31
24
Statistics Austria
Vienna, Austria
3 h-index
3 publications
85 citations

Budapest University of Technology and Economics
Budapest, Hungary
2 h-index
2 publications
72 citations

Carleton University
Ottawa, Canada
2 h-index
4 publications
66 citations
University of Copenhagen
Copenhagen, Denmark
2 h-index
2 publications
72 citations

Hungarian Academy of Sciences
Budapest, Hungary
2 h-index
4 publications
66 citations

TU Wien
Vienna, Austria
2 h-index
2 publications
69 citations
Université Paris Cité
Paris, France
1 h-index
1 publications
65 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
17 citations
1–8 of 24
6 publications · 296 citations
6
h-index
4 publications · 138 citations
4
h-index
2 publications · 38 citations
2
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2 publications · 33 citations
2
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1 publications · 79 citations
1
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1–5