Published June 2011
| Version v1
Journal article
An efficient numerical method for a shape-identification problem arising from the heat equation
Creators
- 1. Mathematisches Institut, Universität Basel, Basel (Switzerland)
- 2. Department of Mathematics, Southern Methodist University, Dallas, TX (United States)
Description
This paper is dedicated to the determination of the shape of a compactly supported constant source in the heat equation from measurements of the heat flux through the boundary. This shape-identification problem is formulated as the minimization of a least-squares cost functional for the desired heat flux at the boundary. The shape gradient of the shape functional under consideration is computed by means of the adjoint method. A gradient-based nonlinear Ritz–Galerkin scheme is applied to discretize the shape optimization problem. The state equation and its adjoint are computed by a fast space-time multipole method for the heat equation. Numerical experiments are carried out to demonstrate the feasibility and scope of the present approach
Availability note (English)
Available from http://dx.doi.org/10.1088/0266-5611/27/6/065013Additional details
Identifiers
- DOI
- 10.1088/0266-5611/27/6/065013;
- PII
- S0266-5611(11)56373-7;
Publishing Information
- Journal Title
- Inverse Problems
- Journal Volume
- 27
- Journal Issue
- 6
- Journal Page Range
- [18 p.]
- ISSN
- 0266-5611
- CODEN
- INVPET
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45034451
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- EQUATIONS OF STATE; GALERKIN-PETROV METHOD; HEAT; HEAT FLUX; LEAST SQUARE FIT; MINIMIZATION; NONLINEAR PROBLEMS; NUMERICAL ANALYSIS; SPACE-TIME
- Descriptors DEC
- CALCULATION METHODS; ENERGY; EQUATIONS; ITERATIVE METHODS; MATHEMATICAL SOLUTIONS; MATHEMATICS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; OPTIMIZATION