Formulation of the Audze--Eglais uniform Latin hypercube design of experiments

By S. Bates, J. Sienz, D. Langley. 2003

113 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ca5d2e4ece8fe51acc215e025af97e7407c370ae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Mattias Liefvendahl
2. R. Stocki

In Computational Theory and Mathematics

1. Mattias Liefvendahl
2. Christian B. Allen
3. Thomas Mackman
4. R. Stocki

In Management Science and Operations Research

1. Mattias Liefvendahl
2. Christian B. Allen
3. Thomas Mackman
4. R. Stocki

Citations in the corpus

• Investigation of an adaptive sampling method for data interpolation using radial basis functions (2010, background): “that the potential energy of the points was minimized [23], resulting in space-filling samples.”
• A study on algorithms for optimization of Latin hypercubes (2006, methodology): “(14) It is assumed that the two variables X1 and X2 are random and uniformly distributed in the interval [0, 2].”