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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Highly Efficient Numerical Integrator for the Circular Restricted Three-Body Problem
期刊论文
SYMMETRY-BASEL, 2022, 卷号: 14, 期号: 9, 页码: 9
Authors:
Tu, Xiongbiao
;
Wang, Qiao
;
Tang, Yifa
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View/Download:9/0
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Submit date:2023/02/07
high efficiency
symplectic
restricted three-body
Large Deviations Principles for Symplectic Discretizations of Stochastic Linear Schrodinger Equation
期刊论文
POTENTIAL ANALYSIS, 2022, 页码: 41
Authors:
Chen, Chuchu
;
Hong, Jialin
;
Jin, Diancong
;
Sun, Liying
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View/Download:73/0
  |  
Submit date:2022/04/29
Large deviations principle
Symplectic discretizations
Stochastic Schrodinger equation
Rate function
Exponential tightness
Energy-preserving methods for guiding center system based on averaged vector field
期刊论文
PHYSICS OF PLASMAS, 2022, 卷号: 29, 期号: 3, 页码: 14
Authors:
Zhu, Beibei
;
Tang, Yifa
;
Liu, Jian
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View/Download:71/0
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Submit date:2022/04/29
Symmetric-Adjoint and Symplectic-Adjoint Runge-Kutta Methods and Their Applications
期刊论文
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2022, 页码: 32
Authors:
Sun, Geng
;
Gan, Siqing
;
Liu, Hongyu
;
Shang, Zaijiu
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View/Download:66/0
  |  
Submit date:2022/04/02
Key words
Runge-Kutta method
symmetric
symplectic
adjoint
high-order
explicit method
Positivity-preserving symplectic methods for the stochastic Lotka-Volterra predator-prey model
期刊论文
BIT NUMERICAL MATHEMATICS, 2021, 页码: 28
Authors:
Hong, Jialin
;
Ji, Lihai
;
Wang, Xu
;
Zhang, Jingjing
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View/Download:61/0
  |  
Submit date:2022/04/02
Stochastic Lotka-Volterra predator-prey model
Positivity
Stochastic symplecticity
Structure-preserving methods
Convergence order conditions
Structure-Preserving Numerical Methods for Stochastic Poisson Systems
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2021, 卷号: 29, 期号: 3, 页码: 802-830
Authors:
Hong, Jialin
;
Ruan, Jialin
;
Sun, Liying
;
Wang, Lijin
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View/Download:80/0
  |  
Submit date:2021/04/26
Stochastic Poisson systems
Poisson structure
Casimir functions
Poisson integrators
symplectic integrators
generating functions
stochastic rigid body system
ASYMPTOTICALLY-PRESERVING LARGE DEVIATIONS PRINCIPLES BY STOCHASTIC SYMPLECTIC METHODS FOR A LINEAR STOCHASTIC OSCILLATOR
期刊论文
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2021, 卷号: 59, 期号: 1, 页码: 32-59
Authors:
Chen, Chuchu
;
Hong, Jialing
;
Jin, Diancong
;
Sun, Liying
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View/Download:93/0
  |  
Submit date:2021/04/26
stochastic symplectic methods
superiority
large deviations principle
rate function
asymptotical preservation
SYMPLECTIC DISCONTINUOUS GALERKIN FULL DISCRETIZATION FOR STOCHASTIC MAXWELL EQUATIONS
期刊论文
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2021, 卷号: 59, 期号: 4, 页码: 2197-2217
Authors:
Chen, Chuchu
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View/Download:52/0
  |  
Submit date:2022/04/02
stochastic Maxwell equations
symplectic dG full discretization
mean-square convergence
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
期刊论文
NEURAL NETWORKS, 2020, 卷号: 132, 页码: 166-179
Authors:
Jin, Pengzhan
;
Zhang, Zhen
;
Zhu, Aiqing
;
Tang, Yifa
;
Karniadakis, George Em
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View/Download:98/0
  |  
Submit date:2021/04/26
Deep learning
Physics-informed
Dynamical systems
Hamiltonian systems
Symplectic maps
Symplectic integrators
Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 卷号: 418, 页码: 18
Authors:
Chen, Chuchu
;
Hong, Jialin
;
Sim, Chol
;
Sonwu, Kwang
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View/Download:97/0
  |  
Submit date:2020/10/12
Hamiltonian wave equations
Energy preservation
EQUIP multi-symplectic methods