Mathematicians, who specialize in the study of approximation methods for solving formulas and equations, including measuring the extent of possible errors.- Category ID : 425322
University of Cambridge. Research interests in numerical ordinary differential equations; also functional equations, approximation theory, special functions, numerical partial differential equations, nonlinear algebraic equations and nonlinear dynamical systems.
Pennsylvania State University. Numerical methods for PDEs and in particular finite element methods; multigrid methods for theoretical analysis, algorithmic developments and practical applications.
Director, Institute for Mathematics and its Applications. Numerical analysis, partial differential equations, mechanics; the numerical solution of the equations of general relativity. Publications, talks, teaching material, other resources.
Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences (ÖAW) . Symmetry analysis of partial differential equations; parameter identification problems; nonlinear partial differential equations; symbolic manipulation programs for symmetry analysis; variational symmetry groups and conservation laws.
Norwegian University of Science and Technology. Krylov subspace and preconditioning methods for the numerical solution of large linear systems arising from the discretization of PDEs; waveform relaxation methods.
University of Oxford. Development and analysis of numerical methods for partial differential equations, particularly in computational fluid dynamics; parallel and distributed computing.
Retired mathematician with a PhD in mathematics from Carnegie-Mellon University. Page contains tutorials on numerical linear algebra, harmonic analysis, digital encoding, symmetry reductions, and modeling of sonar transducers and arrays.