2007
DOI: 10.2514/1.22136
|View full text |Cite
|
Sign up to set email alerts
|

Jets in Crossflow Mixing Analysis Using Computational Fluid Dynamics and Mathematical Optimization

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 19 publications
(6 citation statements)
references
References 17 publications
0
6
0
Order By: Relevance
“…The algorithm is also specifically designed to handle constrained problems where the objective and constraint functions are expensive to evaluate. The details of the Dynamic-Q and applications can be found in open literature [41][42][43][44][45][46][47].…”
Section: Mathematical Optimisation and Optimisation Problemmentioning
confidence: 99%
“…The algorithm is also specifically designed to handle constrained problems where the objective and constraint functions are expensive to evaluate. The details of the Dynamic-Q and applications can be found in open literature [41][42][43][44][45][46][47].…”
Section: Mathematical Optimisation and Optimisation Problemmentioning
confidence: 99%
“…This study is similar to the study by Holdemann et al [6], except that parameter variation was performed without the assistance of a numerical optimisation tool. Morris et al [11] found that the optimum configuration was in good agreement with empirically defined relationships.…”
Section: Introductionmentioning
confidence: 74%
“…In many optimisation problems, additional simple side constraints of the form ˆi these move limits take the form of additional inequality constraints [11]. These inequality constraints are described by ( 1) (…”
Section: Mathematical Optimisationmentioning
confidence: 99%
See 1 more Smart Citation
“…Storage savings become highly significant when the number of variables becomes large. Therefore, this particular strength of the Dynamic-Q method makes it well suited for optimisation of engineering problems with a large number of variables and it has been used to successfully solve a large variety of engineering problems [27][28][29][30][31].…”
Section: Numerical Proceduresmentioning
confidence: 99%