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Lecture 1: Implications of the exascale roadmap for algorithms
Presenter
- David Keyes
January 9, 2011
IMA
Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 1/2 - IPAM at UCLA
Presenter
- Andrew Blumberg
February 26, 2026
IPAM
Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 2/2 - IPAM at UCLA
Presenter
- Andrew Blumberg
February 26, 2026
IPAM
Extreme Data Management Analysis and Visualization for Climate Data Exploration
Presenter
- Valerio Pascucci
November 19, 2013
IMA
Compute Through the Chaos, Asynchrony and Fault Tolerance in Iterative Methods
Presenter
- Alyson Fox
May 4, 2026
ICERM
Kinetic Theory: Novel Statistical, Stochastic and Analytical Methods: Generative artificial intelligence methods for particle-based kinetic computations
Presenter
- Diego Del-Castillo-Negrete
October 21, 2025
SLMath
Di Fang - How Mathematical Analysis can help better understand quantum algorithms - IPAM at UCLA
Presenter
- Di Fang
April 28, 2025
IPAM
Symmetries of a Mathematical Model for Deformation Noise in Realistic Biometric Contexts
Presenter
- Fred Bookstein
April 5, 2006
IMA
Representations of operators in MADNESS (Multiresolution ADaptive Numerical Environment for Scientific Simulation)
Presenter
- Gregory Beylkin
February 1, 2017
IPAM
Domain decomposition methods for partial differential equations
Presenter
- David Keyes
November 28, 2010
IMA
Market Microstructure in Practice: Why and how to trade optimally in a fragmented market - (Part 1)
Presenter
- Charles Lehalle
April 13, 2015
IPAM