On mutual impact of numerical linear algebra and large-scale optimization with focus on interior point methods.
Marco D'ApuzzoValentina De SimoneDaniela di SerafinoPublished in: Comput. Optim. Appl. (2010)
Keyphrases
- linear algebra
- interior point methods
- quadratic programming
- convex optimization
- numerical methods
- semidefinite
- linear program
- linear programming
- semidefinite programming
- image processing
- computer architecture
- singular value decomposition
- primal dual
- quadratically constrained quadratic
- interior point
- solving problems
- computationally intensive
- pattern recognition
- computer vision