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pro vyhledávání: '"Pasarkar, Amol"'
We study the complexity of computational problems arising from existence theorems in extremal combinatorics. For some of these problems, a solution is guaranteed to exist based on an iterated application of the Pigeonhole Principle. This results in t
Externí odkaz:
http://arxiv.org/abs/2209.07625
Akademický článek
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Akademický článek
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Autor:
Park P; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA., Wong-Campos D; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA., Itkis DG; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA., Lee BH; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA., Qi Y; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA., Davis H; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA., Antin B; Departments of Statistics and Neuroscience, Columbia University, New York, NY, USA., Pasarkar A; Departments of Statistics and Neuroscience, Columbia University, New York, NY, USA., Grimm JB; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA., Plutkis SE; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA., Holland KL; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA., Paninski L; Departments of Statistics and Neuroscience, Columbia University, New York, NY, USA., Lavis LD; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA., Cohen AE; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.; Department of Physics, Harvard University, Cambridge, MA, USA.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2024 May 18. Date of Electronic Publication: 2024 May 18.
Autor:
Pasarkar A; Center for Theoretical Neuroscience and Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.; Department of Computer Science, Columbia University, New York, NY, 10027, USA., Kinsella I; Center for Theoretical Neuroscience and Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.; Department of Statistics, Columbia University, New York, NY, 10027, USA., Zhou P; Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China., Wu M; Department of Biomedical Engineering, Duke University, Durham, NC 27708., Pan D; Department of Physics, University of California, Berkeley, California 94720, USA., Fan JL; Joint Bioengineering Graduate Program, University of California, Berkeley, CA 94720., Wang Z; Department of Electrical and Computer Engineering, UCLA, Los Angeles, CA, 90095, USA., Abdeladim L; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA., Peterka DS; Center for Theoretical Neuroscience and Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA., Adesnik H; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.; The Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA., Ji N; Department of Physics, University of California, Berkeley, California 94720, USA.; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.; The Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA., Paninski L; Center for Theoretical Neuroscience and Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.; Department of Statistics, Columbia University, New York, NY, 10027, USA.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2023 Sep 15. Date of Electronic Publication: 2023 Sep 15.