Engineering topics
Publications and source records attributed to Lyle, G. C..
A technique is presented that uses both cluster analysis and a Monte Carlo significance test of clusters to discover associations between variables in multidimensional data. The method is applied to an example of a noisy function in three-dimensional space, to a sample from a mixture of three bivariate normal distributions, and to the well-known Fisher's Iris data.
Approach is first to cluster and then to compute spatial boundaries for resulting clusters. Next step is to compute, from set of Monte Carlo samples obtained from scrambled data, estimates of probabilities of obtaining at least as many points within boundaries as were actually observed in original data.
Chemically reacting stagnation point boundary layers with wall injection of gas, comparing multicomponent solution with binary approximation and chemical simplifications
Computer program predicts the spectra resulting from electronic transitions of diatomic molecules and atoms in local thermodynamic equilibrium. The program produces a spectrum by accounting for the contribution of each rotational and atomic line considered.
Computer program to predict spectra from electronic transitions of diatomic molecules and atoms, noting line intensity distribution by Voigt profile
Computer program for line-by-line calculation of spectra from diatomic molecules and atoms assuming Voigt line profile
Moleuclar band spectra of CN emission assuming Gaussian rotational line profile