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Error Estimates of Finite Difference Methods for the Biharmonic Nonlinear Schrödinger Equation
by
Ma, Ying
, Zhang, Teng
in
Algorithms
/ Boundary conditions
/ Computational Mathematics and Numerical Analysis
/ Discretization
/ Energy methods
/ Errors
/ Finite difference time domain method
/ Mathematical analysis
/ Mathematical and Computational Engineering
/ Mathematical and Computational Physics
/ Mathematics
/ Mathematics and Statistics
/ Methods
/ Numerical analysis
/ Partial differential equations
/ Schrodinger equation
/ Theoretical
2023
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Error Estimates of Finite Difference Methods for the Biharmonic Nonlinear Schrödinger Equation
by
Ma, Ying
, Zhang, Teng
in
Algorithms
/ Boundary conditions
/ Computational Mathematics and Numerical Analysis
/ Discretization
/ Energy methods
/ Errors
/ Finite difference time domain method
/ Mathematical analysis
/ Mathematical and Computational Engineering
/ Mathematical and Computational Physics
/ Mathematics
/ Mathematics and Statistics
/ Methods
/ Numerical analysis
/ Partial differential equations
/ Schrodinger equation
/ Theoretical
2023
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Do you wish to request the book?
Error Estimates of Finite Difference Methods for the Biharmonic Nonlinear Schrödinger Equation
by
Ma, Ying
, Zhang, Teng
in
Algorithms
/ Boundary conditions
/ Computational Mathematics and Numerical Analysis
/ Discretization
/ Energy methods
/ Errors
/ Finite difference time domain method
/ Mathematical analysis
/ Mathematical and Computational Engineering
/ Mathematical and Computational Physics
/ Mathematics
/ Mathematics and Statistics
/ Methods
/ Numerical analysis
/ Partial differential equations
/ Schrodinger equation
/ Theoretical
2023
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Error Estimates of Finite Difference Methods for the Biharmonic Nonlinear Schrödinger Equation
Journal Article
Error Estimates of Finite Difference Methods for the Biharmonic Nonlinear Schrödinger Equation
2023
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Overview
We present two finite difference time domain methods for the biharmonic nonlinear Schrödinger equation (BNLS) by reformulating it into a system of second-order partial differential equations instead of a direct discretization, including a second-order conservative Crank–Nicolson finite difference (CNFD) method and a second-order semi-implicit finite difference (SIFD) method. The CNFD method conserves the mass and energy in the discretized level, and the SIFD method only needs to solve a linear system at each time step, which is more efficient. By energy method, we establish optimal error bounds at the order of
O
(
h
2
+
τ
2
)
in both
L
2
and
H
2
norms for both CNFD and SIFD methods, with mesh size
h
and time step
τ
. The proof of the error bounds are mainly based on the discrete Gronwall’s inequality and mathematical induction. Finally, numerical results are reported to confirm our error bounds and to demonstrate the properties of our schemes.
Publisher
Springer US,Springer Nature B.V
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