Colloquium

  • Approaches to Sampling the World's Microbial DiversityRob Knight HHMI, Department of Chemistry & Biochemistry, CU 51´«Ã½ , Department of Computer Science, CU 51´«Ã½Date and time: Friday, October 26, 2012 - 3:
  • Minimal Models for Precipitating ConvectionLeslie Smith Department of Mathematics and Department of Engineering Physics, University of Wisconsin, Madison Date and time: Friday, October 12, 2012 - 3:30pmAbstract: Minimal models
  • A Model Reduction Algorithm for Computational ElectromagnetismMahadevan Ganesh Department of Applied Mathematics & Statistics, Colorado School of Mines Date and time: Friday, September 7, 2012 - 3:30pmAbstract: We consider a
  • Colloids and Topological Defects in Liquid CrystalsIvan I. Smalyukh Department of Physics, CU 51´«Ã½ Date and time: Friday, August 31, 2012 - 3:30pmAbstract: Liquid crystals and colloids find increasingly important applications
  • Non-Hydrostatic Modeling of General Ocean Circulation with First Order System Least Squares Finite Element MethodsJose GarciaNCAR - High Altitude Observatory Date and time: Tuesday, November 8, 2011 - 3:45pmAbstract: The dynamics of
  • Sampling techniques for uncertainty propagation in stochastic PDEsAlireza Doostan Dept of Aerospace Engineering Sciences, CU 51´«Ã½ Date and time: Tuesday, October 25, 2011 - 3:45pmAbstract: The talk will start with a brief
  • Radial Basis Function Methods for Solving Partial Differential EquationsBengt FornbergApplied Mathematics, University of Colorado 51´«Ã½Date and time: Friday, January 15, 2010 - 4:30pmAbstract: For the task of solving PDEs, finite
  •  Event Description:Elizabeth Bradley, Department of Applied Mathematics, University of Colorado 51´«Ã½Dynamics of data assimilationNumerical solvers cannot track unmodelled effects like noise, and this becomes a particularly serious issue in
  • Event Description:François G Meyer, Department of Electrical and Computer Engineering, University of Colorado 51´«Ã½We can read your mind: the decoding of fMRI datasetsVery recently, functional Magnetic Resonance Imaging (fMRI) has been used to
  • Event Description:Mike Wakin, Assistant Professor, University MichiganThe Geometry of Compressed SensingCompressed Sensing (CS) is a rapidly emerging field based on the revelation that signals obeying sparse models can be recovered from small
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