Terry Feagin
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Dr. Terry Feaginis is a Professor of Computer Science at University of HoustonClear Lake. His research interests are in the areas of Numerical Methods, Parallel Algorithms, Artificial Intelligence, Machine Learning, Scientific Visualization, Fault Management, Research Methods.
Recent Submissions

A Tutorial on CLIPsTOOL, a Graphical Interface to CLIPS
(Third CLIPS Conference Proceedings, 19940914) 
GOLDS, a Blackboard System for Fault Diagnosis
(Third CLIPS Conference Proceedings, 19940914) 
A TenthOrder RungeKutta Method with Error Estimate
(Proceedings of the IAENG Conf. on Scientific Computing, 2007)A tenthorder explicit RungeKutta method with embedded results of order eight is exhibited. The difference between the results of orders eight and ten can be used to estimate the local truncation error and thus to vary ... 
Edge effects in lacunarity analysis
(Ecological Modelling, 2007)Lacunarity results can be skewed by edge effects and this may have negative implications for research projects in ecological pattern analysis and modeling. The problem occurs because the standard glidingbox algorithm ... 
An Explicit RungeKutta Method of Order Fourteen
(Numerical Algorithms, 2009) 
HighOrder msymmetric RungeKutta Methods
(Proceeding of the 23rd Biennial Conference on Numerical Analysis, 200906) 
An Implicit RungeKutta Method for Perturbed Ordinary Differential Equations
(Proceedings of Neural, Parallel & Scientific Computations, 2010)A novel approach is developed for computing the numerical solution of perturbed ordinary differential equations using implicit RungeKutta methods. At each step of the integration of the differential equations, the method ... 
Highorder Explicit RungeKutta Methods Using MSymmetry
(Neural, Parallel & Scientific Computations, 201212)The RungeKutta equations of condition are reformulated. The concept of msymmetry is defined. It is shown that any msymmetric method is of order m. The equations of condition for a twelfthorder explicit RungeKutta ... 
The efficient solution of Kepler’s equation using a quartic approximation and rational functions
(Neural, Parallel & Scientific Computations, 201612) 
Analytical Position and Velocity Partials for Conic and NonConic Trajectories
(AAS Paper, 201702)