Overview of Numerical Algorithms and Software for Extreme-Scale Science ǀ Lori Diachin, LLNL
Presented at the Argonne Training Program on Extreme-Scale Computing 2018. Slides for this presentation are available here: ...
ANL Training
Pi Mu Epsilon Conference 2019 | Nonstandard Finite Difference Schemes for a Nonlinear World
Presented by Dr. Talitha Washington Pellegrene Auditorium Saint John's University April 13, 2019.
College of Saint Benedict and Saint John's University Digital Commons
Dynamics, numerical analysis and some geometry – Christian Lubich – ICM2018
Plenary Lecture 18 Dynamics, numerical analysis and some geometry Christian Lubich Abstract: Geometric aspects play an important role in the construction ...
Rio ICM2018
Solving PDEs using Machine Learning by Balaji Srinivasan, IIT Madras
Table of Contents (powered by https://videoken.com) 0:00:00 [Talk: Solving PDEs using Machine Learning] 0:01:02 Outline 0:01:04 Diverse applications of PDEs ...
Fourth Paradigm conference
LU Decomposition in Python
In this video, we look at the LU matrix factorization in Scipy. We will show how it can be used to solve systems of linear equations and discuss why one may want ...
Kevin Mooney
Istvan Gyong / Numerical methods for stochastic partial differential equations 4
Stochastic Partial Differential Equations and the Related Fields. Istvan Gyongy (University of Edinburgh) / 2012-06-22.
Mathnet Korea
Francois-Xavier Roux: Efficient iterative solvers: FETI methods with multiple search directions
Abstract: In domain decomposition methods, most of the computational cost lies in the successive solutions of the local problems in subdomains via ...
Centre International de Rencontres Mathématiques
Stein's method in machine learning
Qiang Liu's talk at Waterloo AI seminar on Dec.6, 2019 ...
Gheorghe Curelet-Balan
Nonlinear Model Reduction: Using ML to Enable Rapid Simulation of Extreme-Scale Physics Models
Kevin Carlberg (University of Washington), Nonlinear model reduction: using machine learning to enable rapid simulation of extreme-scale physics models ...
MLPS - Combining AI and ML with Physics Sciences
Haïm Brezis " Henri Poincaré, a founding father of the modern theory of PDEs"
Résumé I will discuss some contributions of Henri Poincaré which have had a major impact on the development of PDEs in the 20th century; in particular, the ...
Institut Henri Poincaré
Unfolding Method and Homogenization (Lecture 2) by Daniel Onofrei
PROGRAM: MULTI-SCALE ANALYSIS AND THEORY OF HOMOGENIZATION ORGANIZERS: Patrizia Donato, Editha Jose, Akambadath Nandakumaran and ...
International Centre for Theoretical Sciences
An invitation to nonlocal modeling, analysis and computation – Qiang Du – ICM2018
Numerical Analysis and Scientific Computing | Mathematics in Science and Technology Invited Lecture 15.2 | 17.2 An invitation to nonlocal modeling, analysis ...
Rio ICM2018
Unsupervised state embedding and aggregation towards scalable reinforcement learning - Mengdi Wang
Workshop on New Directions in Reinforcement Learning and Control Topic: Unsupervised state embedding and aggregation towards scalable reinforcement ...
Institute for Advanced Study
Evgenii Kuznetsov: Solitons vs collapses
Abstract: This talk is devoted to solitons and wave collapses which can be considered as two alternative scenarios pertaining to the evolution of nonlinear wave ...
Centre International de Rencontres Mathématiques
Nonlinear tools in the fractional setting
Speaker: Mingione, G. (Università degli Studi di Parma) Advanced School & Workshop on Nonlocal Partial Differential Equations and Applications to Geometry, ...
ICTP Mathematics
Boumediene Hamzi: "Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to ...
Institute for Pure & Applied Mathematics (IPAM)
Scalable Algorithmic Primitives for Data Science
Richard Peng (Georgia Institute of Technology) https://simons.berkeley.edu/talks/scalable-algorithmic-primitives-data-science Randomized Numerical Linear ...
Simons Institute
s-p-Laplacian norms and operators. Recent trends, Juan Luis Vázquez
Speaker: Juan Luis Vázquez Title: s-p-Laplacian norms and operators. Recent trends.
Quoc-Hung Nguyen
Control del error en la distribución posterior numérica para una clase de ecuaciones (Maria Daza)
Control del error en la distribución posterior numérica para una clase de ecuaciones diferenciales parciales Platica dada por María Luisa Daza Torres (Centro ...
efrain vega
An overabundance of breathers in a nonlinear Schrödinger equation without gauge invariance
An overabundance of breathers in a nonlinear Schrödinger equation without gauge invariance (videoconference) Jonathan Jaquette (Boston University) ...
Centre de recherches mathématiques - CRM
The million dollar equation (Navier-Stokes equations)
PLEASE READ PINNED COMMENT In this video, I introduce the Navier-Stokes equations and talk a little bit about its chaotic behavior. Make sure to like and ...
vcubingx
Computational Methods for Numerical Relativity, Part 2 - Frans Pretorius
Computational Methods for Numerical Relativity, Part 2 Frans Pretorius Princeton University July 21, 2009.
Institute for Advanced Study
Universal Differential Equations for SciML - Modeling and Computation Seminar, Chris Rackauckas
University of Arizona Modeling and Computation Seminar, 4/16/2020 In the context of science, the well-known adage "a picture is worth a thousand words" might ...
Christopher Rackauckas
The dynamics of systems coupled to propagating (...) - H. Nurdin - PRACQSYS 2018 - CEB T2 2018
Hendra Nurdin (School of Electrical Engineering and Telecommunications, UNSW Australia, Sydney, Australia) / 05.07.2018 The dynamics of systems coupled ...
Institut Henri Poincaré
Data Driven Discovery of Dynamical Systems and PDEs
This video highlights recent innovations in data-driven model discovery for differential and partial differential equation systems. This work is largely in ...
Nathan Kutz
Michael Mahoney - Dynamical systems and machine learning
Prof. Michael Mahoney from UC Berkeley speaking in the Data-driven methods for science and engineering seminar. Recorded on October 16, 2020. Full title: ...
Physics Informed Machine Learning
3rd NGSolve Usermeeting 2nd Session
Advanced Tutorials.
NGSolve
Data Driven Control using Dynamic Mode Decomposition and its extensions using Koopman operators
In this Machine Learning - Autonomous Navigation Talk 6 video, Chaitanya, PhD student at IISc, Bangalore, talks about data driven control. The summary is as ...
Sabyasachi Sahoo
Some 20+ year old problems about Banach spaces and operators on them – W. Johnson – ICM2018
Analysis and Operator Algebras Invited Lecture 8.17 Some 20+ year old problems about Banach spaces and operators on them William Johnson Abstract: In the ...
Rio ICM2018
NeurIPS 2020 Tutorial: Deep Implicit Layers
This is a video recording of our NeurIPS 2020 Tutorial - Deep Implicit Layers: Neural ODEs, Deep Equilibrium Models, and Beyond - by David Duvenaud, Zico ...
Zico Kolter
Ravi Rau (Chair), "Introduction to Session V: Symmetries, Coherence, and Control"
Ravi Rau (LSU),during FANO Memorial Symposium, "Resonances and Reflections: Profiles of Ugo Fano's Physics and Its Influences", held July 24, 2002 at The ...
ITAMPhysics
William Slofstra:Tsirelson’s problem & an embedding theorem for groups arising from non-local games
"Tsirelson's problem asks whether the commuting operator model for two-party quantum correlations is equivalent to the tensor-product model. We give a ...
Microsoft Research
RSS 2019, Best System Paper Award Nominees and Best Paper Award Nominees
Best System Paper Award Nominees: 1. Network Offloading Policies for Cloud Robotics: A Learning-Based Approach 2. Learning to Throw Arbitrary Objects with ...
Robotics Science and Systems
Resting Position of Different Weight Drums | Non-linear 6x6 System in Mathcad 15
LECTURE 04a Here the contact forces and resting positions are found for two drums with unequal weights resting in a semi-circular cradle. A geometry diagram ...
TheBom_PE
Thomas Baumgarte (4) -Numerical relativity: Mathematical formulation
PROGRAM: NUMERICAL RELATIVITY DATES: Monday 10 Jun, 2013 - Friday 05 Jul, 2013 VENUE: ICTS-TIFR, IISc Campus, Bangalore DETAL Numerical ...
International Centre for Theoretical Sciences
Kwon, Soonsik (Princeton University) / Mass-critical generalized KdV equation. / 2010-04-30
KAIST-NIMS International Workshop on Nonlinear Partial Differential Equations: theory, application and numerical computation.
Mathnet Korea
Continuum Mechanics - Ch 3 - Lecture 4 - Compatibility Conditions for Infinitesimal Strain
Multimedia course: CONTINUUM MECHANICS FOR ENGINEERS. Prof. Oliver's web page: ...
Online Course on Continuum Mechanics
Optimal Basis Elements: The POD Expansion
WEBSITE: databookuw.com This lecture highlights the basic mathematical structure for using POD as an optimal basis expansion for use with reduced order ...
Nathan Kutz
Homotopy of paths
Education For All
JuliaCon 2020 | Doing Scientific Machine Learning (SciML) With Julia
Scientific machine learning combines differentiable programming, scientific simulation (differential equations, nonlinear solvers, etc.), and machine learning ...
The Julia Programming Language
Yann LeCun - Graph Embedding, Content Understanding, and Self-Supervised Learning
Institut des Hautes Études Scientifiques (IHÉS)
POD introduction 3
Introduction to proper orthogonal decomposition and basis selection.
Nathan Kutz
