Registered Data
Contents
- 1 [CT096]
- 1.1 [01052] Large systems of linear equations in particle transport problems
- 1.2 [00883] Convergence of the Eberlein diagonalization method
- 1.3 [01254] Fast SVD-Preconditioned Eigensolver for 3D Phononic Crystals
- 1.4 [01371] A mixed element scheme of Helmholtz transmission eigenvalue problem for anisotropic media
- 1.5 [01588] Stable numerical schemes and adaptive algorithms for fractional diffusion-wave equation
[CT096]
- Session Time & Room
- Classification
[01052] Large systems of linear equations in particle transport problems
- Session Time & Room : 3E (Aug.23, 17:40-19:20) @E603
- Type : Contributed Talk
- Abstract : This work discusses solutions of large linear systems of algebraic equations relevant to establish a solution to the discrete ordinates approximation of the two-dimensional linear Boltzmann equation. Direct and iterative methods are investigated, along with domain decomposition techniques and parallel implementation. The type of the quadrature scheme describing the directions and the class of problems to be solved, neutron or radiation problems, directly affect the final choice of the numerical algorithm.
- Classification : 65F22, 65F05, 65F10, 65MXX
- Format : Talk at Waseda University
- Author(s) :
- Rudnei Dias da Cunha (Universidade Federal do Rio Grande do Sul)
- Liliane Basso Barichello (Universidade Federal do Rio Grande do Sul)
[00883] Convergence of the Eberlein diagonalization method
- Session Time & Room : 3E (Aug.23, 17:40-19:20) @E603
- Type : Contributed Talk
- Abstract : The Eberlein method is a Jacobi-type process for solving the eigenvalue problem of an arbitrary matrix. In each iteration two transformations are applied on the underlying matrix, a plane rotation and a non-unitary elementary transformation. In this talk we present the method under the broad class of generalized serial pivot strategies. We provide the proof of the global convergence and give several numerical examples.
- Classification : 65F15
- Format : Talk at Waseda University
- Author(s) :
- Erna Begovic (University of Zagreb)
- Ana Perkovic (University of Zagreb)
[01254] Fast SVD-Preconditioned Eigensolver for 3D Phononic Crystals
- Session Time & Room : 3E (Aug.23, 17:40-19:20) @E603
- Type : Contributed Talk
- Abstract : In this talk, a Fast Linear Elastic Eigenvalue Problem Solver (FLEEPS) is developed to calculate band structures of 3D isotropic phononic crystals. FLEEPS is an iterative eigensolver of quasi-linear complexity to compute the smallest few eigenvalues of the linear elastic eigenvalue problem. The weighted SVD-preconditioned CG method in FLEEPS convergences faster than the AMG-preconditioned CG method by more than 60 times. Band structure calculations of several 3D isotropic phononic crystals demonstrate the strengths of FLEEPS.
- Classification : 65F15, 74E10, 74E15
- Format : Talk at Waseda University
- Author(s) :
- Tiexiang Li (Southeast University)
- Heng Tian (Sichuan University of Science and Engineering)
- Xing-Long Lyu (Southeast University)
- Wen-Wei Lin (National Yang Ming Chiao Tung University)
[01371] A mixed element scheme of Helmholtz transmission eigenvalue problem for anisotropic media
- Session Time & Room : 3E (Aug.23, 17:40-19:20) @E603
- Type : Contributed Talk
- Abstract : In this paper, we study the Helmholtz transmission eigenvalue problem for inhomogeneous anisotropic media in two and three dimension. Starting with a nonlinear fourth order formulation established by Cakoni, Colton and Haddar in 2009, by introducing some auxiliary variables, we present an equivalent mixed formulation for this problem, followed up with the finite element discretization. Using the proposed scheme, we rigorously show that the optimal convergence rate for the transmission eigenvalues both on convex and nonconvex domains can be expected. Moreover, by this scheme, we will obtain a sparse generalized eigenvalue problem whose size is so demanding even with a coarse mesh that its smallest few real eigenvalues fail to be solved by the shift and invert method. We partially overcome this critical issue by deflating the almost all of the ∞ eigenvalue of huge multiplicity, resulting in a drastic reduction of the matrix size without deteriorating the sparsity. Extensive numerical examples are reported to demonstrate the effectiveness and efficiency of the proposed scheme.
- Classification : 65F15, 65M60, 65N25, 78M10
- Format : Talk at Waseda University
- Author(s) :
- Qing Liu (School of Mathematics, Southeast University)
- Tiexiang Li (School of Mathematics, Southeast University)
- Shuo Zhang (Academy of Mathematics and System Sciences, Chinese Academy of Sciences)
[01588] Stable numerical schemes and adaptive algorithms for fractional diffusion-wave equation
- Session Time & Room : 3E (Aug.23, 17:40-19:20) @E603
- Type : Contributed Talk
- Abstract : This work develops a stable scheme and adaptive algorithm for time-fractional mathematical models. Developed algorithm allows one to build adaptive nature where numerical scheme is adjusted according to behavior of $\alpha$ to keep errors very small and converge to solution very fast. Analysis of numerical scheme has been established thoroughly. Moreover, a reduced order technique is implemented by using moving mesh refinement to improve accuracy at several time levels.
- Classification : 65N06, 65N50, 65N12, 65N15
- Author(s) :
- Vineet Kumar Singh (Indian Institute of Technology (BHU), Varanasi, India)
- Rahul Kumar Maurya (Government Tilak P.G. College, Katni, Madhya Pradesh, India)