3 citations · 5 across the 9 of their papers we have counts for
6 papers · 1 filter
A Structure-Exploiting Implicit-Explicit Trust Region Method for Computing Second-Order Stationary Points of the Landau-Brazovskii Model
Chenglong Bao, Kai Deng, Kai Jiang +1
This work focuses on the reliable computation of second-order stationary points in the high-dimensional nonconvex energy landscape of the Landau-Brazovskii (LB) model, a fundamenta…
Irrational-window-filter projection method and application to quasiperiodic Schrödinger eigenproblems
Kai Jiang, Xueyang Li, Yao Ma +3
In this paper, we propose a new algorithm, the irrational-window-filter projection method (IWFPM), for quasiperiodic systems with concentrated spectral point distribution. Based on…
High-accuracy numerical methods and convergence analysis for Schrödinger equation with incommensurate potentials
Kai Jiang, Shifeng Li, Juan Zhang
Numerical solving the Schrödinger equation with incommensurate potentials presents a great challenge since its solutions could be space-filling quasiperiodic structures without tra…
Multitask kernel-learning parameter prediction method for solving time-dependent linear systems
Kai Jiang, Juan Zhang, Qi Zhou
Matrix splitting iteration methods play a vital role in solving large sparse linear systems. Their performance heavily depends on the splitting parameters, however, the approach of…
A general alternating-direction implicit framework with Gaussian process regression parameter prediction for large sparse linear systems
Kai Jiang, Xuehong Su, Juan Zhang
This paper proposes an efficient general alternating-direction implicit (GADI) framework for solving large sparse linear systems. The convergence property of the GADI framework is…
Two efficient block preconditioners for the mass-conserved Ohta-Kawasaki equation
Juan Zhang, Shifeng Li, Kai Jiang
In this paper, we propose two efficient block preconditioners to solve the mass-conserved Ohta-Kawasaki equation with finite element discretization. We also study the spectral dist…