Moving least squares method for a one-dimensional parabolic inverse problem
From MaRDI portal
Publication:1724737
DOI10.1155/2014/686020zbMath1474.65333OpenAlexW2039393378WikidataQ59040596 ScholiaQ59040596MaRDI QIDQ1724737
Publication date: 14 February 2019
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/686020
Inverse problems for PDEs (35R30) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)
Related Items (3)
On approximation of coefficient inverse problems for differential equations in functional spaces ⋮ Weather daily data approximation using point adaptive ellipsoidal neighborhood in scattered data interpolation methods ⋮ Unnamed Item
Cites Work
- Unnamed Item
- Analytical solutions of a class of inverse coefficient problems
- An inverse coefficient problem for a nonlinear parabolic variational inequality
- A meshless based method for solution of integral equations
- Coefficient identification in parabolic equations
- An introduction to SPH
- Generalizing the finite element method: Diffuse approximation and diffuse elements
- The boundary-element method for the determination of a heat source dependent on one variable
- Error Estimates in Sobolev Spaces for Moving Least Square Approximations
- Determination of a source term in a heat equation
- Surfaces Generated by Moving Least Squares Methods
- The approximation power of moving least-squares
- Element‐free Galerkin methods
- On an inverse source problem for the heat equation. Application to a pollution detection problem
- Conditional stability in determining a heat source
- Determination of an Unknown Heat Source from Overspecified Boundary Data
- Numerical solution of the inverse problem of determining an unknown source term in a heat equation
- Error estimates for moving least square approximations
This page was built for publication: Moving least squares method for a one-dimensional parabolic inverse problem
