Videos

Start date cannot be after end date.
Introductory Workshop: Hamiltonian Systems, From Topology To Applications Through Analysis - Introduction to KAM theory in the planetary system II Thumbnail

Introductory Workshop: Hamiltonian Systems, From Topology To Applications Through Analysis - Introduction to KAM theory in the planetary system II

Presenter
  • Jacques Fejoz
August 21, 2018
SLMath

Capitalizing on superconvergence for more accurate multi-resolution analysis

Presenter
  • Jennifer Ryan
August 21, 2018
ICERM

A Noble Cause - How Solving an Inverse PDE Problem May Help in the Fight Against Cancer

Presenter
  • Jessica Libertini
August 21, 2018
ICERM
Introductory Workshop: Hamiltonian Systems, From Topology To Applications Through Analysis - Introduction to weak KAM theory II Thumbnail

Introductory Workshop: Hamiltonian Systems, From Topology To Applications Through Analysis - Introduction to weak KAM theory II

Presenter
  • Marie-Claude Arnaud
August 21, 2018
SLMath

Steady Water Waves

Presenter
  • Walter Strauss
August 21, 2018
ICERM
Introductory Workshop: Hamiltonian Systems, From Topology To Applications Through Analysis - Hamilton description of plasmas and other models of matter: structure and applications I Thumbnail

Introductory Workshop: Hamiltonian Systems, From Topology To Applications Through Analysis - Hamilton description of plasmas and other models of matter: structure and applications I

Presenter
  • Philip Morrison
August 21, 2018
SLMath

Zero Relaxation Limit

Presenter
  • Constantine Dafermos
August 21, 2018
ICERM
Overview of the proof of the quasi-polynomial Bogolyubov–Ruzsa theorem Thumbnail

Overview of the proof of the quasi-polynomial Bogolyubov–Ruzsa theorem

Presenter
  • Olof Sisask
August 21, 2018
AIM

Using ?1 Regularization to Improve Numerical Partial Differential Equation Solvers

Presenter
  • Anne Gelb
August 20, 2018
ICERM
Model Uncertainty and Uncertainty Quantification Thumbnail

Model Uncertainty and Uncertainty Quantification

August 20, 2018
SAMSI
Hierarchical Bayesian Models for Inverse Problems and Uncertainty Quantification Thumbnail

Hierarchical Bayesian Models for Inverse Problems and Uncertainty Quantification

August 20, 2018
SAMSI
Principles of Predictive Computational Science: Predictive Models of Random Heterogeneous Materials and Tumor Growth Thumbnail

Principles of Predictive Computational Science: Predictive Models of Random Heterogeneous Materials and Tumor Growth

August 20, 2018
SAMSI