Name
Abstract | ||
|---|---|---|
We address a non-convex optimization problem involving the minimization of the difference between two symmetric functions which are log convex. Specifically we are interested in minimizing the mean system damage of a parallel-series system composed of a maximal number of identical units, each capable of failing in one of two ways.We characterize the solution of the problem, and develop an algorithm to solve large scale versions of it.Numerical results are presented. It is shown that an optimal configuration with n available components may not use all n components. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1023/A:1026510617647 | Comp. Opt. and Appl. |
Keywords | Field | DocType |
optimal redundancy,integer and non convex optimization | Mathematical optimization,Nonlinear programming,Proper convex function,Conic optimization,Ellipsoid method,Convex optimization,Optimization problem,Linear matrix inequality,Convex analysis,Mathematics | Journal |
Volume | Issue | ISSN |
17 | 2/3 | 1573-2894 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir Kirilyuk | 1 | 0 | 0.34 |
| James E. Falk | 2 | 297 | 68.47 |