IEEE Transactions on Antennas and Propagation · 1989 · 83 citations · 6 references
Natural SciencesElectrical EngineeringPhysicsComputational ElectromagneticsElectromagneticsElectromagnetismElectromagnetic Inverse ProblemsElectromagnetic MethodsIterative SolversMaxwell's EquationsNumerical AnalysisScattering ProblemsElectromagnetic Field Solver
An iterative method based on the conjugate gradient (CG) algorithm is developed for the efficient treatment of equations involving multiple excitations. Examples show that significant time savings can be obtained as compared to treating each excitation individually with the conjugate gradient algorithm. However, these savings are not obtained without the drawback of increased memory requirements to store the additional excitations, residuals, and solutions. The efficiency of this algorithm tends to increase as additional excitations are added.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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The Lanczos algorithm with partial reorthogonalization
Horst D. Simon · Mathematics of Computation · 1984 · 281 citations · Full text