GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
ScaLAPACK user's guide
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Parallel Eigensolvers for a Discretized Radiative Transfer Problem
High Performance Computing for Computational Science - VECPAR 2008
Evaluation of linear solvers for astrophysics transfer problems
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
A parallel implementation of the Atkinson algorithm for solving a Fredholm equation
VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science
Performance evaluation of a parallel algorithm for a radiative transfer problem
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Eigenvalue computations in the context of data-sparse approximations of integral operators
Journal of Computational and Applied Mathematics
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This paper deals with the numerical approximation of the solution of a weakly singular integral equation of the second kind which appears in Astrophysics. The reference space is the complex Banach space of Lebesgue integrable functions on a bounded interval whose amplitude represents the optical thickness of the atmosphere. The kernel of the integral operator is defined through the first exponential-integral function and depends on the albedo of the media. The numerical approximation is based on a sequence of piecewise constant projections along the common annihilator of the corresponding local means. In order to produce high precision solutions without solving large scale linear systems, we develop an iterative refinement technique of a low order approximation. For this scheme, parallelization of matrix computations is suitable.