## Abstract A series of five different Iterative Natural Orbital (INO) procedures are tested for the ground state of water and are compared on the basis of their respective convergence properties. The choice of configuration space employed in these methods is shown to be a key factor in determining
Convergence behavior of some orbital optimization procedures
β Scribed by Sankar Prasad Bhattacharyya; Debashis Mukherjee; Debendra Madhab Bhattacharyya; Priyotosh Khan
- Publisher
- John Wiley and Sons
- Year
- 1982
- Tongue
- English
- Weight
- 365 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0020-7608
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Sources of occasional convergence problems in our recently proposed algorithm for orthonormality constrained orbital optimization in SCF calculation, as well as in the partly equivalent orthogonal gradient method, are traced and remedial measures are suggested. A simple scaling technique for accelerating convergence in the related orthogonal gradient method is tested.
π SIMILAR VOLUMES
## Abstract The optimization scheme of the βmulticonfiguration method based on the generalized Brillouin theoremβ (MCGBT) has been analysed and found to converge quadratically. Its rate of convergence has been compared with that of other optimization methods such as the firstβorder RayleighβSchrΓΆdi
We investigate subdivision strategies that can improve the convergence and efficiency of some branch and bound algorithms of global optimization. In particular, a general class of so called weakly exhaustive simplicial subdivision processes is introduced that subsumes all previously known radial exh