Applied Math

Organizers:  ryzhik [at] stanford.edu (Lenya Ryzhik) & lexing [at] stanford.edu (Lexing Ying)

For more information and access to abstracts, click here.

 

 

Upcoming Events

Applied Math
Wednesday, January 10, 2024
12:00 PM - 1:00 PM
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384H
Quantum Dynamical Systems for Optimization: Theory and Experiments
Tongyang Li
Applied Math
Wednesday, January 24, 2024
12:00 PM - 1:00 PM
TBD
Zhiyan Ding
Applied Math
Wednesday, February 14, 2024
12:00 PM - 1:00 PM
TBD
Mitchell Luskin
Applied Math
Wednesday, February 28, 2024
12:00 PM - 1:00 PM
TBD
Michael Lindsey

Past Events

Applied Math
Wednesday, December 6, 2023
12:00 PM - 1:30 PM
|
384H
KPZ and Fisher equations describe competition in microbial colonies
Kirill Koroliev (Boston University)
Applied Math
Wednesday, November 29, 2023
12:30 PM - 2:00 PM
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384H
Optimal enhanced dissipation and mixing for a time-periodic, Lipschitz velocity field on the two-dimensional torus
Jonathan Mattingly (Duke)
Applied Math
Wednesday, November 15, 2023
12:00 PM - 1:30 PM
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384H
Analysis and Solution of LP and MILP Using Graph Neural Networks
Wotao Yin (Alibaba Inc)
Applied Math
Wednesday, November 8, 2023
12:00 PM - 1:30 PM
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384H
Towards practical and efficient quantum phase estimation
Haoya Li (Stanford)
Applied Math
Wednesday, November 1, 2023
12:00 PM - 1:30 PM
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384H
Semidefinite programs simulate approximate message passing robustly
Tselil Schramm (Stanford)
Applied Math
Wednesday, October 25, 2023
12:00 PM - 1:30 PM
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384H
Solitary water waves on graphs
Andre Nachbin (WPI)
Applied Math
Wednesday, October 18, 2023
12:00 PM - 1:30 PM
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384H
Invasion: robustness and universality
Cole Graham (Brown)
Applied Math
Wednesday, September 27, 2023
12:00 PM - 1:30 PM
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384H
Combined Multiscale Modeling and Experimental Study of Platelet-Driven Contraction of Blood Clots
Mark Alber (UC Riverside)
Applied Math
Wednesday, June 7, 2023
12:00 PM
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384H
Differentiability of shape functions and effective Lagrangians.
Yuri Baktin (NYU)
Applied Math
Wednesday, May 24, 2023
3:00 PM - 4:00 PM
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384H
Data Driven Modeling of Unknown Systems with Deep Neural Networks
Dongbin Xiu (Ohio State University)