LANS Informal Seminar: Karoly Nemeth
Karoly Nemeth, Assistant Physicist, APS: Algorithmic and computational challenges of very large Reverse Monte Carlo simulations
Karoly Nemeth, Assistant Physicist, APS: Algorithmic and computational challenges of very large Reverse Monte Carlo simulations
Andreas Linninger, Professor, UIC: The need for super-computations in biomedical simulation of the brain
Charles Van Loan, Cornell University: Block Tensor Computations
Jieqiu Chen, Wilkinson Fellow, MCS: Globally Solving Nonconvex QPs via Completely Positive Programming
Robert Gramacy, Booth Business School: Dynamic Trees for Response Surface Learning and Optimization
Prachi Mahajan, Indian Institute of Science: A simple introduction to complex analysis
Andrew March, PhD candidate, MIT Department of Aeronautics & Astronautics: Multifidelity Methods for Multidisciplinary System Design
Mark Adams, Columbia University: Multigrid methods with applications to MHD and structural mechanics
Ian Rutt, Department of Geography, College of Science, Swansea University: Numerical modelling in Glaciology: computational challenges and opportunities
Sanjukta Bhowmick, Assistant Professor, Department of Computer Science, University of Nebraska at Omaha: Challenges in Analyzing Large Dynamic Networks