Imperfect conjugate gradient algorithms for extended quadratic functions
β Scribed by Jozsef Abaffy; Fridrich Sloboda
- Publisher
- Springer-Verlag
- Year
- 1983
- Tongue
- English
- Weight
- 305 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0029-599X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper is concerned with a conjugate gradient method that utilizes a successive set of preconditioner matrices. The method is developed for the solution of min{f (x): x β R n }, where f is a nonlinear function that is sufficiently smooth to possess a Hessian matrix that is continuous. The theory
## Abstract We consider a class of network flow problems with pure quadratic costs and demonstrate that the conjugate gradient technique is highly effective for largeβscale versions. It is shown that finding a saddle point for the Lagrangian of an __m__ constraint, __n__ variable network problem re
## Abstract MRI gradient coil design is a type of nonlinear constrained optimization. A practical problem in transverse gradient coil design using the conjugate gradient descent (CGD) method is that wire elements move at different rates along orthogonal directions (__r, Ο, z__), and tend to cross,