Berkeley applied mathematics seminar

numerical analysis optimization and control

Audience:	Researchers in the topic
Seminar series time:	Wednesday 23:10-00:00 in your time zone, UTC
Organizers:	Sunčica Čanić, Di Fang*, Lin Lin, Per-Olof Persson
	*contact for this listing

Upcoming talks

Past talks

Your time			Speaker	Title
Wed	Apr 27	23:10	Houman Owhadi	Computational Graph Completion
Wed	Apr 20	23:10	Minh Tran	The propagation of information in power-law interacting systems
Wed	Apr 13	23:10	Dejan Slepcev	Proper regularizers for semi-supervised learning
Wed	Apr 06	23:10	Michael I Weinstein	Discrete honeycombs, rational edges and edge states
Wed	Mar 30	23:10	Guillaume Bal	Asymmetric transport and topological invariants
Wed	Mar 23	23:10	Spring break. No seminar	TBA
Wed	Mar 16	23:10	Eitan Tadmor	Hierarchical decomposition of images and the problem of Bourgain-Brezis
Thu	Mar 10	00:10	Michael Franco	Relating high-order fluid flow problems to simpler subproblems to create efficient preconditioners
Thu	Mar 03	00:10	Samuel Olivier	High Order Finite Element Discretizations of the Variable Eddington Factor Equations for Accelerating Radiation Transport Calculations on Curved Meshes
Fri	Feb 25	00:10	Di Fang	Mathematics Department Colloquium: Quantum algorithms for Hamiltonian simulation with unbounded operators
Thu	Feb 24	00:10	Andre Laestadius	Energy error estimate for coupled-cluster excited states
Thu	Feb 17	00:10	Jingwei Hu	An efficient dynamical low-rank algorithm for the Boltzmann-BGK equation close to the compressible viscous flow regime
Wed	Feb 09	18:10	Yunan Yang	Adjoint DSMC Method for Boltzmann-Constrained Optimization Problems
Thu	Feb 03	00:10	Alina Chertock	Structure Preserving Numerical Methods for Hyperbolic Systems of Conservation and Balance Laws
Thu	Jan 27	00:10	No seminar	TBA
Thu	Dec 09	00:10	Alexandre Chorin	TBA
Thu	Dec 02	00:10	Aditi Krishnapriyan	Integrating machine learning with physics-based spatial and temporal modeling
Thu	Nov 11	00:10	Jason Kaye	Efficient numerical algorithms for simulating quantum dynamics
Wed	Nov 03	23:10	Yu Tong	Quantum eigenstate filtering and its applications
Wed	Oct 27	18:10	Song Mei	The efficiency of kernel methods on structured datasets
Wed	Oct 20	23:10	Emanuel Gull	Nevanlinna Analytical Continuation
Wed	Oct 13	23:10	Franziska Weber	A Convergent Numerical Method for a Model of Liquid Crystal Director Coupled to An Electric Field
Wed	Oct 06	23:10	Di Fang	Time-dependent unbounded Hamiltonian simulation with vector norm scaling
Wed	Sep 29	23:10	Simon Becker	Mathematical properties of twisted bilayer graphene
Wed	Sep 22	23:10	Michael Lindsey	Embedding approaches for classical and quantum statistical mechanics
Wed	Sep 15	23:10	Natalia Komarova	Mathematical methods in cancer dynamics
Wed	Sep 08	23:10	Jeffrey Kuan	A stochastic fluid-structure interaction problem describing Stokes flow interacting with a membrane
Wed	Sep 01	23:10	Thomas Hou	Potential singularity of 3D incompressible Euler equations and the nearly singular behavior of 3D Navier-Stokes equations
Wed	Apr 28	23:10	Seung-Yeal Ha	Emergent behaviors of Lohe tensor flocks
Wed	Apr 21	23:10	Phillip Colella	Numerical Analysis of Particle-in-Cell Methods for Advection-Type Partial Differential Equations
Wed	Apr 14	23:10	Zhennan Zhou	Efficient Sampling of Thermal Averages of Interacting Quantum Particle Systems: preconditioning and simulation with random batches
Wed	Apr 07	23:10	Jimmy Xia	Mathematical modeling of human learning and decision making
Wed	Mar 31	23:10	Mitchell Luskin	Mathematics and Physics at the Moiré Scale
Fri	Mar 19	17:10	Yuan Su	Nearly tight Trotterization of interacting electrons
Thu	Mar 11	00:10	Fernando Casas	Symmetric-conjugate composition methods in the numerical integration of differential equations
Thu	Mar 04	00:10	Doron Levy	Fighting drug resistance with math
Thu	Feb 25	00:10	Zhenning Cai	On the method of complex Langevin
Thu	Feb 18	00:10	Zhewei Yao	Second Order Methods for Neural Network Analysis, Training, and Inference
Thu	Feb 11	00:10	Dongbin Xiu	TBA
Thu	Feb 04	00:10	Jianfeng Lu	Towards solving high dimensional PDEs using neural networks
Thu	Jan 28	00:10	Ruiwen Shu	Linear interpolation convexity/concavity in the minimization of attractive-repulsive energy
Thu	Jan 21	00:10	Andrew Horning	Computing spectral properties of infinite-dimensional operators
Thu	Dec 03	00:10	Robert Webber	Monte Carlo methods for the Hermitian eigenvalue problem
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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