郭静
广东工业大学
数学与统计学院
电子邮箱: jingguo@gdut.edu.cn
青年百人教师
教育背景
博士(湖南师范大学)
硕士(湖南师范大学)
研究领域
带约束优化;卷积求积的变步长逼近方法;鞍点问题;拉普拉斯变换数值反演
学术领域
计算数学
个人简介
郭静博士现任广东工业大学数学与统计学院青年百人教师。她的主要研究兴趣包括带约束优化、卷积求积的变步长逼近方法、鞍点问题的数值计算等。
郭静博士于2023年在湖南师范大学获得数学博士学位,在攻读博士学位期间,曾于2021年11月-2022年11月赴西班牙马拉加大学进行博士联合培养。2023年8月至2025年5月在香港中文大学(深圳)从事博士后研究工作。
学术论文
2026
- Efficient and stable diffusion generated methods for ground state computation in Bose–Einstein condensatesJournal of Scientific Computing, 2026
2025
- Computing optimal partition problems via Lagrange multiplier approachJournal of Scientific Computing, 2025
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- Runge–Kutta generalized convolution quadrature for sectorial problemsarXiv preprint, 2025
- An efficient unconditionally energy-stable numerical scheme for Bose–Einstein condensatearXiv preprint, 2025
2022
- Fast BDF2 ADI methods for the multi-dimensional tempered fractional integrodifferential equation of parabolic typeComputers and Mathematics with Applications, 2022
- A spectral order method for solving the nonlinear fourth-order time-fractional problemJournal of Applied Mathematics and Computing, 2022
- An efficient Sinc-collocation method via the DE transformation for eighth-order boundary value problemsJournal of Computational and Applied Mathematics, 2022
- A formally second‐order backward differentiation formula Sinc‐collocation method for the Volterra integro‐differential equation with a weakly singular kernel based on the double exponential transformationNumerical Methods for Partial Differential Equations, 2022
2021
- Numerical solution of the fourth-order partial integro-differential equation with multi-term kernels by the Sinc-collocation method based on the double exponential transformationApplied Mathematics and Computation, 2021
- The Crank-Nicolson-type Sinc-Galerkin method for the fourth-order partial integro-differential equation with a weakly singular kernelApplied Numerical Mathematics, 2021
- Weak Galerkin finite element method for a class of time fractional generalized Burgers’ equationNumerical Methods for Partial Differential Equations, 2021
2020
- Time two-grid algorithm based on finite difference method for two-dimensional nonlinear fractional evolution equationsApplied Numerical Mathematics, 2020
- A finite difference scheme for the nonlinear time-fractional partial integro-differential equationMathematical Methods in the Applied Sciences, 2020
- A compact difference scheme for the time-fractional partial integro-differential equation with a weakly singular kernelAdvances in Applied Mathematics and Mechanics, 2020
- A time two-grid algorithm based on finite difference method for the two-dimensional nonlinear time-fractional mobile/immobile transport modelNumerical Algorithms, 2020
- A compact finite difference scheme for the fourth‐order time‐fractional integro‐differential equation with a weakly singular kernelNumerical Methods for Partial Differential Equations, 2020