Relation of Validation Experiments to Applications: A Nonlinear Approach
| Autor: | Richard Guy Hills, J. R. Hamilton |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Numerical Analysis
Computational model Relation (database) Computer science Suite Condensed Matter Physics computer.software_genre Computer Science Applications Test (assessment) Nonlinear programming Model validation Nonlinear system Mechanics of Materials Modeling and Simulation Test suite Data mining computer |
| Zdroj: | Numerical Heat Transfer, Part B: Fundamentals. 57:373-395 |
| ISSN: | 1521-0626 1040-7790 |
| Popis: | Model validation efforts often use a suite of experiments to provide data to test models for predictive use for a targeted application. A question that naturally arises is “Does the experimental suite provide data to adequately test the target application model?” The goal of this article is to develop methodology to partially address this question by utilizing computational models for the individual test suite experiments and for the target application, coupled with linear and nonlinear optimization techniques. The results show that the nonlinear methodology developed represents a significant improvement in ability to address this question, for the application considered. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|