Based on numerical analysis and optimization theories, we study the mathematical characteristics and the convergences of approximations in the areas of deep learning, homomorphic encryption and computational fluid dynamics.
Yesom Park, Jeongho Kim, Jinwook Jung, Euntaek Lee, Chohong Min, An efficient MILU preconditioning for solving the 2D Poisson equation with Neumann boundary condition, Journal of Computational Physics 356 (2018), 115-126.
Byungjoon Lee, Chohong Min, An energy-stable method for solving the incompressible Navier-Stokes equations with non-slip boundary condition, Journal of Computational Physics 360 (2018), 104-119.