Convexification-based globally convergent numerical method for a 1D coefficient inverse problem with experimental data.
Michael V. KlibanovThuy T. LeLoc H. NguyenAnders SullivanLam H. NguyenPublished in: CoRR (2021)
Keyphrases
- experimental data
- numerical methods
- globally convergent
- autocalibration
- variational inequalities
- differential equations
- global convergence
- newton method
- line search
- partial differential equations
- augmented lagrangian
- level set method
- convergence analysis
- level set
- state space
- image processing
- primal dual
- constrained optimization
- global optimum
- convergence rate