A Semi-Lagrangian Two-Level Preconditioned Newton--Krylov Solver for Constrained Diffeomorphic Image Registration
DOI10.1137/16M1070475zbMath1380.49034arXiv1604.02153OpenAlexW3099638453WikidataQ47236505 ScholiaQ47236505MaRDI QIDQ4595777
Publication date: 6 December 2017
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1604.02153
optimal controlNewton-Krylov methodPDE constrained optimizationsemi-Lagrangian formulationconstrained diffeomorphic image registrationKKT preconditionersstationary velocity field registration
Numerical optimization and variational techniques (65K10) Newton-type methods (49M15) Existence theories for optimal control problems involving partial differential equations (49J20) Flow control and optimization for incompressible viscous fluids (76D55) Preconditioners for iterative methods (65F08) PDEs in connection with control and optimization (35Q93)
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