Abstract

The Fourteenth Copper Mountain Conference on Iterative Methods was held March 20--25, 2016, in Copper Mountain, Colorado. The meeting featured more than 170 presentations covering a broad spectrum of topics in scientific computing. Highlighted topics for the 2016 conference included iterative linear algebraic techniques in data mining, optimization, inverse problems, nonlinear solvers, methods for large-scale eigenvalue and singular value computations, implementation of iterative solvers on emerging architectures, uncertainty quantification, robust and scalable iterative solution of coupled multi-physics problems, model reduction, and methods based on low-rank approximations. Besides data mining, applications to energy, climate, imaging, fluids and electromagnetics were especially encouraged. Several speakers addressed discretization techniques for partial differential equations from the point of view of their impact on the design and performance of iterative solvers. As is customary for Copper Mountain, ...

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