Computational Mathematics Seminar

  • Casting a Two-Fluid Darwin Plasma Model in a FOSLS/FOSLL* FrameworkChris LeibsApplied Mathematics, °µÍø½ûÇøDate and time: Tuesday, October 22, 2013 - 10:00amLocation: Grandview Conference RoomAbstract: TBA
  • SEISMIC WAVE SIMULATION WITH RADIAL BASIS FUNCTION-DERIVED FINITE DIFFERENCES (RBF-FD)Brad MartinApplied Mathematics, °µÍø½ûÇøDate and time: Tuesday, October 15, 2013 - 10:00amLocation: Grandview Conference
  • Smoothed AggregationMarian BrezinaApplied Mathematics, °µÍø½ûÇøDate and time: Tuesday, October 8, 2013 - 10:00amLocation: Grandview Conference RoomAbstract: TBA
  • AMG TutorialJohn RugeApplied Mathematics, °µÍø½ûÇøDate and time: Tuesday, October 1, 2013 - 10:00amLocation: Grandview Conference RoomAbstract: TBA
  • Hybrid FOSLS/FOSLL*  Tom ManteuffelApplied Mathematics, °µÍø½ûÇøDate and time: Tuesday, September 17, 2013 - 10:00amLocation: GRVW Conference RoomAbstract: Standard FOSLS formulation for a system of
  • Maximum Principles for Graph EigenvectorsGeoff SandersCenter for Applied Scientific Computing, Lawrence Livermore National LaboratoryDate and time: Tuesday, September 10, 2013 - 10:00amLocation: GRVW Conference RoomAbstract: 
  • High Dimensional Data and Music Genre ClassificationMichael Brutz, Philip LenziniApplied Mathematics, °µÍø½ûÇøDate and time: Thursday, July 25, 2013 - 3:45pmAbstract: Today there are more artists producing music
  • Algebraic Multigrid for Parallel Computing, Systems, and Graphs... oh my!Tobias JonesApplied Mathematics, °µÍø½ûÇøDate and time: Tuesday, April 30, 2013 - 12:00pmAbstract: The proposed research contains three
  • Fully implicit, energy- and charge-conserving particle-in-cell algorithms for kinetic simulation of plasmasLuis ChacónLos Alamos National Laboratory Date and time: Tuesday, February 12, 2013 - 4:15pmAbstract: Particle-in-cell (PIC)
  • Hybrid-FOSLS with Application to Stokes and Navier-Stokes EquationsKuo Liu Applied Mathematics, °µÍø½ûÇøDate and time: Tuesday, September 18, 2012 - 3:30pmAbstract: Hybrid-FOSLS is based on combining the
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