JuliaCon 2018 | Solving Partial Differential Equations with Julia | Chris Rackauckas
Climate scientists solve fluid dynamics PDEs. Biologists solve reaction-diffusion PDEs. Economists solve optimal control PDEs. But solving PDEs is hard! Where ...
The Julia Programming Language
Lecture 19 Numerical Solution Of ODE - 2
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JuliaCon 2016 | Partial Differential Equations: Being Faster than M*TL*B | Clemens Heitzinger
Visit http://julialang.org/ to download Julia.
The Julia Programming Language
Intro to Hilary Weller's videos on parallel computing and finite elements
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Lecture 18 Numerical Solution of Ordinary Differential Equation (ODE) - 1
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Model-Driven Choice of PDE Numerical Solvers
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MIT Numerical Methods for PDE Lecture 6: Walkthough of a multigrid solver
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AN20: Partial Differential Equations Meet Deep Learning: Old Solutions for New Problems & Vice Versa
Monday, July 6 5:00 PM - 5:45 PM One of the most promising areas in artificial intelligence is deep learning, a form of machine learning that uses neural ...
SIAM Conferences
Parallelizing NDSolve
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Mark Sofroniou Wolfram ...
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Mod-03 Lec-01 Finite Difference Method: Methodology and Grid Notation
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Minisymposium on Partial Differential Equations
The talks at the minisymposium present several packages devoted to the solution of partial differential equations based on various approaches to space ...
The Julia Programming Language
Partial Differential Equations (MTH-PDE) Lecture 1
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ICTP Postgraduate Diploma Programme
Discretization of Elliptic Differential Equations Using Sparse Grids... (Cristoph Pflaum)
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A Black Mathematician's Quest for the Philip Emeagwali Equations | Partial Differential Equations
I'm Philip Emeagwali. How did I solve the toughest problem in computational physics? The secret is that I heard voices from the sixteenth dimensional ...
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JuliaCon 2020 | Solving partial differential equations in Julia with Gridap.jl | Francesc Verdugo
We present Gridap, a novel finite element framework written in Julia. In the talk, we will show the software design behind the library and its application to solve a ...
The Julia Programming Language
Big Data and Machine Learning for Analysis of Numerical PDEs
Speaker: Roman Khotyachuk Event: Second Symposium on Machine Learning and Dynamical Systems http://www.fields.utoronto.ca/activities/20-21/dynamical ...
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MIT Numerical Methods for PDE Lecture 6: Gauss Seidel iterations and its use in multigrid
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NUMERICAL METHODS PDE-08// SOLUTION OF LAPLACE Eqn BY LIEBMANN ITERATION BY Dr BP (Bapuji Pullepu)
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Philip Emeagwali | Parallel Computing is My Contribution to Mathematics | Famous Black Mathematician
I'm Philip Emeagwali. A breakthrough in computational mathematics, or in the supercomputer solution of a grand challenge problem, is particularly worthy of ...
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18.337J/6.338J: Parallel Computing and Scientific Machine Learning https://github.com/mitmath/18337 Chris Rackauckas, Massachusetts Institute of ...
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JuliaCon 2019 | Solving Delay Differential Equations with Julia | David Widmann
Delay differential equations (DDEs) are used to model dynamics with inherent time delays in different scientific areas; however, solving them numerically in an ...
The Julia Programming Language
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Ordinary Differential Equations 1: Applications and Solution Characteristics
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Parallel Computing and Scientific Machine Learning
JuliaCon 2018 | Solving sparse linear systems with Trilinos.jl | Bart Janssens
The Trilinos library features modern iterative solvers for large linear systems. Using the Tpetra library, it can exploit hybrid parallelism and GPUs. We present an ...
The Julia Programming Language
Numerical Libraries for Scientific Computing
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Dr Tim Warburton talks about PDE's and CUDA
Dr Tim Warburton of Rice University speaks about his experience in using CUDA in the field of electromagnetism. Dr Warburton works on numerical methods for ...
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Frédéric Nataf: Domain decomposition, hybrid methods, coarse space corrections
Recording during the " CEMRACS Summer school 2016: Numerical challenges in parallel scientific computing" the July 19, 2016 at the Centre International de ...
Centre International de Rencontres Mathématiques
JuliaCon 2020 | Multi-Physics 3-D Inversion on GPU Supercomputers with Julia | Ludovic Räss
We present an iterative and massively scalable 3-D multi-GPU inversion workflow using Julia for coupled multi-physics processes in Earth Sciences.
The Julia Programming Language
SN Partial Differential Equations and Applications Webinar - George Em Karniadakis
Join George Em Karniadakis of Brown University and MIT as he presents a new approach to develop a data-driven, learning-based framework for predicting ...
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Parallel Processing is the Contribution of Philip Emeagwali to Physics | Greatest Physicists Alive
In the supercomputer textbooks of the 1960s through '80s, Amdahl's Law cemented the theory that solving the toughest problems arising in modern calculus and ...
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Recording during the "CEMRACS Summer school 2016: Numerical challenges in parallel scientific computing" the July 21, 2016 at the Centre International de ...
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Philip Emeagwali Equations Are My Contributions to Calculus
I'm Philip Emeagwali at http://emeagwali.com. Back in 1989, I was the cover stories of top mathematics publications. I was cover stories because I invented how ...
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