Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
You can change this under Settings & Account at any time.
SIAM Annual Meeting 2013
Transcript of SIAM Annual Meeting 2013
Paul Constantine (Stanford -> Colorado School of Mines)
Qiqi Wang (MIT)
There is nothing
"Of all the forms of chaos occurring in physics, there is
only one class which has been studied with anything approaching completeness. This is the class of types of chaos connected with the theory of Brownian motion."
"Publish the same results several times."
- Gian-Carlo Rota, Ten Things I Wish I Had Been Taught (1997)
"The homogeneous chaos." (1938)
Connecting harmonic analysis and stochastic processes.
"The orthogonal development of non-linear functionals in series of Fourier-Hermite functionals." (1947)
Square-integrable functionals of Brownian motion admit a convergent series of Hermite polynomials of Gaussian random variables. (But like, infinity to the infinity power.)
"Stochastic Finite Elements: A Spectral Approach." (1990)
If the input of a physics (structural mechanics) model is a stochastic process, and the output is square integrable, then the Cameron-Martin theory applies!
"... approaches transform the original stochastic problem into a deterministic one with a large dimensional parameter, ..."
- Babuska, Tempone, & Zouraris "Galerkin finite element approximations to stochastic elliptic partial differential equations." (2004)
"The Wiener-Askey polynomial chaos for stochastic differential equations." (2002)
The connection between Gaussian measures and Hermite polynomials extends to other measures and associated orthogonal polynomials. (The GENERALIZED polynomial chaos or gPC.)
(1) Represent uncertain model inputs with a set of parameters.
(2) Approximate model output by a polynomial of parameters.
Cameron & Martin
Ghanem & Spanos
Xiu & Karniadakis
Chaos & Polynomials
Least Squares Formulation
Wang, Gomez, Blonigan, Alastair, Qian. "Towards scalable parallel-in-time turbulent flow simulations." arxiv.org/abs/1211.2437