Simultaneous optical flow and source estimation: space-time discretization and preconditioning
DOI10.1016/j.apnum.2015.04.007zbMath1321.65103OpenAlexW301747976WikidataQ42141529 ScholiaQ42141529MaRDI QIDQ492924
Otmar Scherzer, Roman Andreev, Walter Zulehner
Publication date: 21 August 2015
Published in: Applied Numerical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apnum.2015.04.007
discretizationpreconditioningnumerical experimentsaddle-pointlinear-quadratic controlspace-timeenergy minimization problemoptical flow equation
Numerical optimization and variational techniques (65K10) Linear-quadratic optimal control problems (49N10) Existence theories for optimal control problems involving ordinary differential equations (49J15) Direct numerical methods for linear systems and matrix inversion (65F05) Physical optics (78A10)
Related Items (9)
Cites Work
- Unnamed Item
- Unnamed Item
- A preconditioning technique for a class of PDE-constrained optimization problems
- A class of iterative methods for solving saddle point problems
- Determining optical flow
- A literature survey of low-rank tensor approximation techniques
- Numerical solution of saddle point problems
- A Low-Rank in Time Approach to PDE-Constrained Optimization
- Symmetric Indefinite Preconditioners for Saddle Point Problems with Applications to PDE-Constrained Optimization Problems
- A Preconditioning Technique for Indefinite Systems Resulting from Mixed Approximations of Elliptic Problems
- Corrigenda
- Numerical tensor calculus
- Optimal Control Formulation for Determining Optical Flow
- Recovering Estimates of Fluid Flow from Image Sequence Data
- Computing Optical Flow via Variational Techniques
- Finite Elemente
- Direct methods in the calculus of variations
- Variational optic flow computation with a spatio-temporal smoothness constraint
This page was built for publication: Simultaneous optical flow and source estimation: space-time discretization and preconditioning