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Berkeley applied mathematics seminar

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numerical analysis optimization and control

University of California, Berkeley

Audience:	Researchers in the topic
Seminar series time:	Thursday 00:10-01:00 in your time zone, UTC
Organizers:	Sunčica Čanić, Di Fang*, Lin Lin, Per-Olof Persson
Curator:	Andrew Sutherland*
	*contact for this listing

Upcoming talks

Past talks

Your time			Speaker	Title
Thu	Dec 03	00:10	Robert Webber	Monte Carlo methods for the Hermitian eigenvalue problem

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Your time			Speaker	Title
Thu	Nov 19	00:10	James Stokes	First-quantized neural networks for lattice fermions
Thu	Nov 12	00:10	Jiequn Han	Solving High-Dimensional PDEs, Controls, and Games with Deep Learning
Thu	Nov 05	00:10	Xiaochuan Tian	Reproducing kernel collocation methods for nonlocal models: asymptotic compatibility and numerical stability
Wed	Oct 28	23:10	Dong An	Quantum adiabatic evolution and applications in computational physics and quantum computing
Wed	Oct 21	23:10	Rolando Somma	Quantum linear systems problem: solution and verification
Wed	Oct 14	23:10	Franziska Weber	Numerical approximation of statistical solutions of hyperbolic systems of conservation laws
Wed	Oct 07	23:10	Aditi Krishnapriyan	Persistent Homology Advances Interpretable Machine Learning for Scientific Applications
Wed	Sep 30	23:10	Andrew Childs	Symmetries, graph properties, and quantum speedups
Wed	Sep 23	23:10	Martina Bukac	A computational framework for fluid-structure interaction problems
Wed	Sep 16	23:10	Alex Townsend	The ultraspherical spectral method
Wed	Sep 09	23:10	Weile Jia	HPC+AI: pushing ab initio MD to 100 million atoms on the Summit supercomputer
Wed	Sep 02	23:10	Chao Ma	The Slow Deterioration of the Generalization Error of the Random Feature Model
Wed	Aug 26	23:10	Stefan Steinerberger	Solving Linear Systems of Equations via Randomized Kaczmarz/Stochastic Gradient Descent
Tue	Aug 18	23:10	Yanhe Huang	Axisymmetric bubbles rising in 3D and a new accurate algorithm for evaluating orthogonal polynomials
Wed	May 13	23:10	Linfeng Zhang	Symmetry preserving neural network models for molecular modelling
Wed	May 06	23:10	Tamara Kolda	Practical leverage-based sampling for low-rank tensor decomposition
Wed	Apr 29	23:10	Ken Kamrin	Toward reduced-order models for flowing grains: Surprising complexity meets surprising simplicity
Wed	Apr 22	23:10	Michael Mahoney	Determinantal point processes and randomized numerical linear algebra
Wed	Apr 08	23:10	Lexing Ying	Solving inverse problems with deep learning

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