Terry Feagin
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Dr. Terry Feaginis is a Professor of Computer Science at University of Houston-Clear 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
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A Tutorial on CLIPsTOOL, a Graphical Interface to CLIPS
(Third CLIPS Conference Proceedings, 1994-09-14) -
GOLDS, a Blackboard System for Fault Diagnosis
(Third CLIPS Conference Proceedings, 1994-09-14) -
A Tenth-Order Runge-Kutta Method with Error Estimate
(Proceedings of the IAENG Conf. on Scientific Computing, 2007)A tenth-order explicit Runge-Kutta 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 gliding-box algorithm ... -
An Explicit Runge-Kutta Method of Order Fourteen
(Numerical Algorithms, 2009) -
High-Order m-symmetric Runge-Kutta Methods
(Proceeding of the 23rd Biennial Conference on Numerical Analysis, 2009-06) -
An Implicit Runge-Kutta 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 Runge-Kutta methods. At each step of the integration of the differential equations, the method ... -
High-order Explicit Runge-Kutta Methods Using M-Symmetry
(Neural, Parallel & Scientific Computations, 2012-12)The Runge-Kutta equations of condition are reformulated. The concept of m-symmetry is defined. It is shown that any m-symmetric method is of order m. The equations of condition for a twelfth-order explicit Runge-Kutta ... -
The efficient solution of Kepler’s equation using a quartic approximation and rational functions
(Neural, Parallel & Scientific Computations, 2016-12) -
Analytical Position and Velocity Partials for Conic and Non-Conic Trajectories
(AAS Paper, 2017-02)
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