数学与系统科学研究院

计算数学所学术报告会

报告人：       Prof. Jun Zhang

                 Department of computer science, University of Kentucky, USA

报告题目：

Preconditioning Techniques for Hybrid Integral Simulation of Electromagnetics

报告摘要：

  A coupled surface-volume integral equation approach is used for the calculation of electromagnetic scattering with composite conducting and dielectric materials. This approach has high accuracy in solutions and can be accelerated by the multilevel fast multipole algorithm (MLFMA) to reduce the CPU time and memory. By using the method of moments (MoM), the coupled surface-volume integral equations are converted into discrete matrix equations. The near part of the resulting matrix is used to construct preconditioners for the original dense coefficient matrix. We will use an incomplete LU factorization, a sparse approximate inverse, and a two-level block ILU factorization preconditioners for this applications. The main purpose of this study is to show that the proposed preconditioning strategy is effective with the MLFMA and can reduce the number of Krylov iterations substantially. The preconditioning strategy maintains the computational complexity of the MLFMA, but converges a lot faster, thus effectively reduces the overall simulation time for the coated material objects.

报告时间: 2005年6月20日(周一) 上午10:00-11:00

报告地点：科技综合楼三层311报告厅

          欢迎大家参加!