Two statistical image processing formalisms involving the entropy concept and Bayesian analysis are studied. Iterative imaging algorithms of the formalisms are formulated by employing, for the purpose of performance evaluation and easy implementation, the steepest descent method for the solution of
Performance of Integrated Methods in the Study of Large Compounds
โ Scribed by J. Espinosa-Garcia
- Publisher
- John Wiley and Sons
- Year
- 2004
- Weight
- 51 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0931-7597
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
For Abstract see ChemInform Abstract in Full Text.
๐ SIMILAR VOLUMES
Iterative methods are used increasingly for solution of the extremely large matrix equations generated by integral equation analysis of multi-wavelength frequency domain scattering. Although much cheaper than direct methods, the matrix solution remains the dominant cost, and is very costly. The crit
We present a new implementation of the polarizable continuum ลฝ . model PCM that significantly improves its performance, especially for large solutes. This approach avoids the separation between electronic and nuclear sources in the calculation of the solvation charges, allowing the extension of w ลฝ