Regularizing gradient algorithms for inverse thermal-conduction problems
Abstract
The paper proposes regularizing algorithms for solving nonlinear incorrect problems by methods of steepest descent, minimum discrepancy, and conjugate gradients. Practical application of these algorithms for solving inverse boundary-value heat conduction problems are discussed along with their use for automated processing of thermal data
- Publication:
-
Inzhenerno Fizicheskii Zhurnal
- Pub Date:
- August 1980
- Bibcode:
- 1980InFiZ..39..253A
- Keywords:
-
- Algorithms;
- Conductive Heat Transfer;
- Gradients;
- Linear Equations;
- Steepest Descent Method;
- Conjugation;
- Iterative Solution;
- Operators (Mathematics);
- Optimization;
- Theorem Proving;
- Thermal Conductivity;
- Thermophysical Properties;
- Fluid Mechanics and Heat Transfer