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By Rachel Ruth Comroe

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2003. 84. T. Rylander, F. Edelvik, A. Bondeson, and D. Riley, “Advances in hybrid FDTD-FE techniques,” in Computational Electrodynamics: The Finite-Difference Time-Domain Method, 16 85. 86. 87. 88. 89. 90. 91. 92. 93. , A. Taflove and S. C. Hagness, Eds. Norwood, MA: Artech House, pp. 907–953, 2005. Z. Lou and J. M. Jin, “Modeling and simulation of broadband antennas using the time-domain finite element method,” IEEE Trans. , vol. 53, no. 12, pp. 4099–4110, Dec. 2005. Z. Lou and J. M. Jin, “A novel dual-field time-domain finite-element domaindecomposition method for computational electromagnetics,” IEEE Trans.

Vol. 54, no. 6, pp. 1850–1862, June 2006. Z. Lou and J. M. Jin, “A new explicit time-domain finite-element method based on elementlevel decomposition,” IEEE Trans. , vol. 54, no. 10, pp. 2990–2999, Oct. 2006. Z. Lou and J. M. Jin, “A dual-field domain-decomposition method for the timedomain finite-element analysis of large finite arrays,” J. Comput. , vol. 222, no. 1, pp. 408–427, Mar. 2007. L. E. R. Petersson and J. M. Jin, “A three-dimensional time-domain finite element formulation for periodic structures,” IEEE Trans.

The choice of a matrix solver can have a significant impact on the computational efficiency, and it is therefore important to choose a solver that can best exploit the properties of the finite element matrix. There are two types of matrix solvers. The first, known as a direct solver, is based on Gaussian elimination or LU decomposition. These solvers are commonly used for full matrices, although they are also applicable to sparse matrices stored in a banded format, or even a fully sparse format in the case of the frontal and multifrontal methods [14,15].

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A Search for Evidence of the Radioactive Decomposition of Barium by Rachel Ruth Comroe


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