Applied Math

Organizers:  Lenya Ryzhik and Lexing Ying. 

For more information and access to abstracts, click here.

Upcoming Events

Applied Math
Wednesday, April 8, 2020
12:00 PM
|
Zoom TBA
High frequency limit in general relativity
Jonathan Luk, Stanford
Applied Math
Wednesday, April 15, 2020
12:00 PM
|
Zoom TBA
Applied Math, Josselin Garnier
Josselin Garnier, Ecole Polytechnique
Applied Math
Wednesday, April 22, 2020
4:30 PM
|
Zoom TBA
Applied Math, Andrea Montanari
Andrea Montanari, Stanford University

Past Events

Applied Math
Wednesday, April 1, 2020
10:00 AM
|
Zoom
https://stanford.zoom.us/j/477609908
Mathematical models of living tissues and the Hele-Shaw limit
Benoit Perthame, Sorbonne Universite
Applied Math
Thursday, March 5, 2020
3:15 PM
|
Math 383-N
Mathematical and computational aspects of imaging with waves
Liliana Borcea (University of Michigan)
Applied Math
Wednesday, March 4, 2020
4:30 PM
|
Math 384-H
Regularity, local well-posedness, and (lack of) blow-up of solutions of the Landau equation
Christopher Henderson (University of Arizona)
Applied Math
Wednesday, February 26, 2020
4:30 PM
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Math 384-H
A branching Brownian motion perspective on the Road-Field Model
Nicholas Cook
Applied Math
Wednesday, February 19, 2020
4:30 PM
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Math 384-H
Corrections to mean field for classical interacting particles
Mitia Duerinckx (UCLA)
Applied Math
Wednesday, February 19, 2020
2:00 PM
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Math 383-N
Propagation in reaction-diffusion equations with obstacles: the role of geometry
Henri Berestycki (EHESS, Paris)
Applied Math
Wednesday, February 5, 2020
4:30 PM
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Math 384-H
Imaging with incomplete and corrupted data
Alexei Novikov (Penn State)
Applied Math
Wednesday, January 29, 2020
4:30 PM
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Math 384-H
On Universal Mixers
Andrej Zlatos (UC San Diego)
Applied Math
Wednesday, January 22, 2020
4:30 PM
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Math 384-H
Lagrangian chaos, mixing, and scalar turbulence in stochastic fluids
Samuel Punshon-Smith, Brown University
Applied Math
Wednesday, January 15, 2020
4:30 PM
|
Math 384-H
Borrowing From the Future: An Attempt to Address Double Sampling
Yuhua Zhu, Stanford