For more information about this meeting, contact Fei Wang, Toan Nguyen, Stephanie Zerby, Mark Levi, Victor Nistor, Jinchao Xu, Ludmil Zikatanov, Chun Liu.
|Title:||Variational Principles and Sparsity in Imaging, Compressed Sensing and PDEs|
|Seminar:||CCMA Luncheon Seminar|
|Speaker:||Russel Caflisch, University of California, Los Angeles|
|Variational principles are powerful methods for generating the equations of physics, as well as other fields such as statistics and approximation theory. Constraints and penalization terms in variational principles provide a mechanism for enforcing desirable properties of the solution, such as conservation laws and smoothness. This talk will describe the derivation of PDEs from variational principles and from gradient descent of variational quantities. It will then focus on the use of variational principles for image processing, compressed sensing and physics. Penalization terms will be used to control noise, extract information, and promote sparsity.|
Room Reservation Information
|Date:||03 / 31 / 2014|
|Time:||12:20pm - 01:30pm|