Scientific Computing and Numerics (SCAN) Seminar

Spring 2010

The focus of this seminar is various methods in scientific computing, the analysis of their convergence properties and computational efficiency, and their adaptation to specific applications. Questions or comments about the seminar should be sent to David Bindel or Alex Vladimirsky. Please go here if you wish to subscribe to the seminar announcement mailing list. Students who plan to attend regularly may take the seminar for credit as CS 7290 or MATH 7290, and should contact the organizers for more information.

The seminar meets Mondays, 1:25-2:15 pm, in 315 Upson Hall.

Date Speaker Title
Feb 1 Alex Vladimirsky,
Math, Cornell
Causality, Dimensionality, Efficiency
Feb 8 James Sethna,
Physics, Cornell
Sloppy models and differential geometry
Feb 15 Gil Strang,
Math, MIT
Fast Transforms: Banded Matrices with Banded Inverses
Feb 22 Noah Snavely,
CS, Cornell
Building Rome in a Day: Large-scale Optimization Problems in Computer Vision
Mar 1 Sergey Fomel,
Geosciences, UT Austin
Mathematical and Computational Problems in Seismic Imaging
Mar 15 Adrian Lewis,
ORIE, Cornell
A proximal method for composite minimization
Mar 29 Fengyan Li,
Math, RPI
Discontinuous Galerkin based fast sweeping methods for Eikonal equations
Apr 5 Steve Koutsourelakis,
CEE, Cornell
Scalable Bayesian reduced-order models for simulating
high-dimensional multiscale dynamical systems
Apr 12 Hongkai Zhao,
Math, UC Irvine
A new approximation for effective Hamiltonians
for homogenization of a class of Hamilton-Jacobi equations
Apr 14
Charles Peskin,
Math, NYU
Generalizations of the Immersed Boundary Method: Nonuniform Density and Viscosity, Fibers with Bend and Twist, and Microscale Fluid-Structure Interaction with Brownian Motion.
Special meeting -- 5130 Upson
Apr 19 Padma Raghavan
CSE, Penn State
Energy-Aware Scalability of Parallel Sparse Scientific Computing
Apr 26 Orly Alter,
BioMed, UT Austin
Discovery of Mechanisms from Mathematical Modeling of DNA Microarray Data
May 3 Jonathan Weare,
Math, NYU
Toward practical rare event simulation in high dimensions.

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