## Abstract We present two random search methods for solving discrete stochastic optimization problems. Both of these methods are variants of the stochastic ruler algorithm. They differ from our earlier modification of the stochastic ruler algorithm in that they use different approaches for estimat
Biomolecular Structure Prediction Stochastic Optimization Methods
β Scribed by A. Schug; B. Fischer; A. Verma; H. Merlitz; W. Wenzel; G. Schoen
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 250 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1438-1656
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The paper develops a new stochastic weighted-residual method for predicting the dynamic response of a random structure under random excitation. This is achieved by employing a discretization technique in the time domain based on the method of weighted residuals. A trial function involving a third-or
## Abstract This review presents the advances in protein structure prediction from the computational methods perspective. The approaches are classified into four major categories: comparative modeling, fold recognition, first principles methods that employ database information, and first principles
The problem of optimal control for distributed system with stochastic distributed disturbance is considered. A direct method, based on expanding each control function in terms of a complete set of orthonormal basis, is used for the computation of the optimal distributed control with a quadratic perf