## Seminars

## Applied Math Colloquium - Steve Sain

Oct. 11, 2019

Steve Sain Jupiter Intelligence, Boulder CO Data Science @ Jupiter In 2017, the US faced over $300 billion in loses from hurricanes, severe weather, flooding, drought, fire, etc. These national catastrophes are placing an increasing burden on the public and are projected to worsen in the future. Jupiter Intelligence provides...

## Applied Math Colloquium - Andreas Kloeckner

Oct. 4, 2019

Andreas Kloeckner Department of Computer Science, University of Illinois Fast Algorithms for the Evaluation of Layer and Volume Potentials I will present new, asymptotically fast algorithms with high-order error bounds for the evaluation of layer and volume potentials in two and three dimensions. The efficient evaluation of both types of...

## Applied Math Colloquium - Rebecca Morrison

Sept. 27, 2019

Rebecca Morrison Department of Computer Science, University of Colorado Boulder Representing model error in reduced models of interacting systems In many applications of interacting systems, we are only interested in the dynamic behavior of a subset of all possible active species. For example, this is true in combustion models (many...

## Joint APPM/MATH Colloquium - Catherine Sulem

Sept. 24, 2019

Catherine Sulem Department of Mathematics, University of Toronto Bloch theory and spectral gaps for linearized water waves We consider the movement of a free surface of a two-dimensional fluid over a variable bottom. We assume that the bottom has a periodic prole and we study the water wave system linearized...

## Applied Math Colloquium - John Harlim

Sept. 20, 2019

John Harlim Departments of Mathematics and Meteorology, Penn State University Manifold learning based computational methods Recent success of machine learning has drawn tremendous interests in applied mathematics and scientific computations. In this talk, I will discuss recent efforts in using manifold learning algorithms (a branch of machine learning) to do...

## Applied Mathematics Colloquium - Matthew Norman

Sept. 17, 2019

Matthew Norman, Oak Ridge National Laboratory Fluids algorithms from a High Performance Computing Perspective Numerical approximations to Partial Differential Equations have provided diverse benefits to society over the years. Their applications in simulation codes have weathered a number of large changes in computing as well, from the original vector machines...

## Applied Math Colloquium - Jennifer Ryan

Sept. 13, 2019

Jennifer Ryan Department of Applied Mathematics and Statistics, Colorado School of Mines Superconvergence Extraction: How to do it? When is it applicable? Many numerical simulations produce data that contains hidden information. This hidden information can be exploited to create even more accurate representations of the data by appropriately constructing convolution...

## Applied Math Colloquium - Henry Adams

Sept. 6, 2019

Henry Adams Department of Mathematics, Colorado State University An introduction to applied topology This talk is an introduction to computational topology, as applied to data analysis and to sensor networks. The shape of a dataset often reflects important patterns within. Two such datasets with interesting shapes are a space of...

## Applied Math Colloquium - Adrianna Gillman

Aug. 30, 2019

Adrianna Gillman Department of Applied Mathematics, University of Colorado Boulder An efficient and high order accurate direct solution technique for variable coefficient elliptic partial differential equations For many applications in science and engineering, the ability to efficiently and accurately approximate solutions to elliptic PDEs dictates what physical phenomena can be...

## Department Colloquium - Marcel Nutz

April 26, 2019

Convergence to the Mean Field Game Limit: A Case Study Mean field games are used as approximations to n-player games with large n. Indeed, n-player Nash equilibria are known to converge to their mean field counterpart when the latter is unique. In this talk we study a specific stochastic game...