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Stephen Smale

TTI Chicago, Chicago, IL, United States 
 Mathematics University of California, Berkeley, Berkeley, CA 
Algorithms, Numerical analysis, Global analysis
"Stephen Smale"
Born in Michigan, USA, Professor Smale received his PhD degree from the University of Michigan in 1957, and within four years became a full Professor at Columbia University. In 1964, he was named a Professor at the University of California, Berkeley and held the post for 30 years before joining City University as a Distinguished University Professor.

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Mean distance: 18.43
Cross-listing: MathTree - Econometree


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Raoul Bott grad student 1957 University of Michigan (MathTree)
 (Regular Curves on Riemannian Manifolds.)


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Nancy Kopell grad student
Morris W. Hirsch grad student 1958 Chicago (MathTree)
John Guckenheimer grad student 1970 UC Berkeley (Physics Tree)
Julian Palmore grad student 1973 UC Berkeley (MathTree)
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Rajapakse I, Smale S. (2016) Mathematics of the Genome Foundations of Computational Mathematics. 1-23
Chen H, Chen J, Muir LA, et al. (2015) Functional organization of the human 4D Nucleome. Proceedings of the National Academy of Sciences of the United States of America. 112: 8002-7
Shen WJ, Wei YT, Guo X, et al. (2014) MHC binding prediction with KernelRLSpan and its variations. Journal of Immunological Methods. 406: 10-20
Shen WJ, Wong HS, Xiao QW, et al. (2014) Introduction to the Peptide Binding Problem of Computational Immunology: New Results Foundations of Computational Mathematics. 14: 951-984
Smale S. (2013) Forewords Mineralogical Record. 44: 8
Hirsch MW, Smale S, Devaney RL. (2013) Differential Equations, Dynamical Systems, and an Introduction to Chaos Differential Equations, Dynamical Systems, and An Introduction to Chaos
Smale N, Smale S. (2012) Abstract and classical Hodge-de Rham theory Analysis and Applications. 10: 91-111
Bartholdi L, Schick T, Smale N, et al. (2012) Hodge Theory on Metric Spaces Foundations of Computational Mathematics. 12: 1-48
Niyogi P, Smale S, Weinberger S. (2011) A topological view of unsupervised learning from noisy data Siam Journal On Computing. 40: 646-663
Smale S, Rosasco L, Bouvrie J, et al. (2010) Mathematics of the neural response Foundations of Computational Mathematics. 10: 67-91
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