March 4, 2017
The SIAM student chapters of Colorado are hosting their 13th annual regional student conference on applied mathematics for all schools along the Front Range. This event will allow students from different universities in the area to see what is being done in this field and promote interest in applied mathematics in general. This event is open to both undergraduates and graduate students.
University of Colorado at Denver
Check the page here for directions.
Call for Presentations
All students (undergraduate and graduate) are invited to submit abstracts on any research topic in applied mathematics. Please submit your title and abstract as soon as possible, but no later than February 24, 2017. All titles and abstracts should be submitted to FRAMSC.email@example.com. See the call for presentations page for more information.
2017 SIAM Conference Keynote Speaker
Dr. Paul Constantine
Active Subspaces: Emerging Ideas for Dimension Reduction in Computational Science and Engineering Models
Scientists and engineers use computer simulations to study relationships between a physical model's input parameters and its output predictions. However, thorough parameter studies---e.g., constructing response surfaces, optimizing, or averaging---are challenging, if not impossible, when the simulation is expensive and the model has several inputs. To enable parameter studies in these cases, the engineer may attempt to reduce the dimension of the model's input parameter space. Active subspaces are part of an emerging set of subspace-based dimension reduction tools that identify important directions in the input parameter space. I will (i) describe computational methods for discovering a model's active subspaces, (ii) propose strategies for exploiting the reduced dimension to enable otherwise infeasible parameter studies, and (iii) review results from several science and engineering applications. For more information, visit activesubspaces.org
Paul G. Constantine is the Ben L. Fryrear Assistant Professor of Applied Mathematics and Statistics at Colorado School of Mines. He received his Ph.D. from Stanford University's Institute for Computational and Mathematical Engineering and spent two years as the John von Neumann Fellow at the Sandia National Laboratories' Computer Science Research Institute. His research interests include uncertainty quantification and dimension reduction for large-scale computer simulations. For more information, visit www.mines.edu/~pconstan