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We introduce the reduced basis method (RBM) as an efficient tool for parametrized scattering problems in computational electromagnetics for problems where field solutions are computed using a standard Boundary Element Method (BEM) for the parametrized electric field integral equation (EFIE).
Volunteers for the Folding@home and Genome@home projects offer up their computers' spare moments to run complex simulations that address problems in computational biology, like how a protein bunches up into the complex shape that determines its role in the machinery of life.
Generalized eigenvalue problems are standard problems in computational sciences.
Its answer may hinge on open problems in computational complexity theory.
Furthermore, it can be applied to the convergence theorem for solving some problems in computational mathematics.
Results are obtained for benchmark problems in computational aeroacoustics at a much reduced computational cost.
Ben-Artzi, J. Falcovitz, Generalized Riemann Problems in Computational Fluid Dynamics, Cambridge Monogr.
A new grid-adaption algorithm for problems in computational fluid dynamics is presented.
Trigonometric Finite Wave Elements (TFWE) are finite elements for solving problems in computational optics.
Random sampling is an efficient method to deal with constrained optimization problems in computational geometry.
This strategy has been successfully employed in many problems in computational mechanics.
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