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Landweber iterative method for identifying the initial value problem of the time-space fractional diffusion-wave equation
by
Yang, Fan
, Li, Xiao-Xiao
, Zhang, Yan
in
Boundary value problems
/ Codes
/ Diffusion waves
/ Eigenvalues
/ Eigenvectors
/ Exact solutions
/ Integral equations
/ Inverse problems
/ Iterative methods
/ Numerical analysis
/ Parameters
/ Physics
/ Regularization
/ Regularization methods
/ Spacetime
/ Wave equations
2020
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Landweber iterative method for identifying the initial value problem of the time-space fractional diffusion-wave equation
by
Yang, Fan
, Li, Xiao-Xiao
, Zhang, Yan
in
Boundary value problems
/ Codes
/ Diffusion waves
/ Eigenvalues
/ Eigenvectors
/ Exact solutions
/ Integral equations
/ Inverse problems
/ Iterative methods
/ Numerical analysis
/ Parameters
/ Physics
/ Regularization
/ Regularization methods
/ Spacetime
/ Wave equations
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Landweber iterative method for identifying the initial value problem of the time-space fractional diffusion-wave equation
by
Yang, Fan
, Li, Xiao-Xiao
, Zhang, Yan
in
Boundary value problems
/ Codes
/ Diffusion waves
/ Eigenvalues
/ Eigenvectors
/ Exact solutions
/ Integral equations
/ Inverse problems
/ Iterative methods
/ Numerical analysis
/ Parameters
/ Physics
/ Regularization
/ Regularization methods
/ Spacetime
/ Wave equations
2020
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Landweber iterative method for identifying the initial value problem of the time-space fractional diffusion-wave equation
Journal Article
Landweber iterative method for identifying the initial value problem of the time-space fractional diffusion-wave equation
2020
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Overview
This paper considers the inverse problem for identifying the initial value problem of a space-time fractional diffusion wave equation. In general, this problem is ill-posed and the Landweber iterative regularization method is used to solve this problem. The error estimates between the exact solution and the regularized solution are given under the a priori parameter choice rule and the a posteriori parameter choice rule, respectively. In order to verify the validity and stability of the used method, numerical examples of two different dimensional cases with experimental data are performed.
Publisher
Springer Nature B.V
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