About Linda Alzaben Linda Alzaben Ph.D. Student, Applied Mathematics and Computational Science applied mathematics numerical analysis Linda Alzaben is a Ph.D. candidate in Applied Mathematics and Computational Science. Linda has a Bachelor's and a Master's degree, both in pure Mathematics, from King Abdulaziz University. In both her B.Sc. and M.Sc. she was first-class honors. Although she had been teaching for several years she decided to pursue her postgraduate studies in an engaging and interesting field at KAUST. She seized the opportunity to study and work under the supervision of Professor Daniele Boffi who is a distinguished professor in his field. Her main interest are in Finite elements and Mixed Finite elements and Events Presented Events Apr 28 - May 4, 2024 Non-standard Finite Elements for Eigenvalue Problems Linda Alzaben, Ph.D. Student, Applied Mathematics and Computational Science May 2, 14:00 - 15:00 B1 L2 R2202 Numerical approximation of partial differential equations involves parameter dependencies from problem formulation and numerical methods. We focus on two areas: least-squares finite element method with linear elasticity, studying its dependence on the Lamé parameter, and the Virtual Element Method, known for handling complex geometries where the stabilization parameter is analyzed.
Non-standard Finite Elements for Eigenvalue Problems Linda Alzaben, Ph.D. Student, Applied Mathematics and Computational Science May 2, 14:00 - 15:00 B1 L2 R2202 Numerical approximation of partial differential equations involves parameter dependencies from problem formulation and numerical methods. We focus on two areas: least-squares finite element method with linear elasticity, studying its dependence on the Lamé parameter, and the Virtual Element Method, known for handling complex geometries where the stabilization parameter is analyzed.
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