Primal-Dual Relationship Between Levenberg-Marquardt and Central Trajectories for Linearly Constrained Convex Optimization.
Roger BehlingClóvis C. GonzagaGabriel HaeserPublished in: J. Optim. Theory Appl. (2014)
Keyphrases
- convex optimization
- primal dual
- levenberg marquardt
- variational inequalities
- least squares
- artificial neural networks
- back propagation
- interior point methods
- bundle adjustment
- linear programming problems
- interior point
- semidefinite programming
- training algorithm
- convergence rate
- total variation
- linear constraints
- convex optimization problems
- convex constraints
- moving objects
- object recognition
- point correspondences
- linear program
- structure from motion
- special case
- high resolution
- line search
- image processing