
In this article, efficient numerical schemes for the two dimensional Gray Scott model are presented. The Gray Scott model presents self-replicating patterns such as spots and strips. These pattern formulations are suitable interplay between diffusion and reactions in which the coupled partial differential system is solved by using three finite difference schemes to enhance accuracy while maintaining stability of the system. The stability analysis is performed on stationary points whereas the analytical solution is compared with the numerical schemes, such as Douglas implicit fourth and sixth order compact difference schemes. The later two schemes are implemented for first time on such a system for analyzing error residuals and system efficiency. It is predicted that the efficiency is upgraded by Thomas block tridiagonal solver, which leads to an excellent improvement in accuracy measured by L∞ norm.
Finite difference, Computer Networks and Communications, QC1-999, FOS: Political science, Norm (philosophy), FOS: Law, Mathematical analysis, Quantum mechanics, Differential equation, Dynamics of Synchronization in Complex Networks, Numerical Methods for Singularly Perturbed Problems, Numerical Integration Methods for Differential Equations, Machine learning, FOS: Mathematics, STRIPS, Stability (learning theory), Political science, Eigenvalues and eigenvectors, Numerical Analysis, Physics, Mathematical optimization, Numerical stability, Partial differential equation, Tridiagonal matrix algorithm, Applied mathematics, Finite difference method, Computer science, Algorithm, Tridiagonal matrix, Gray (unit), Solver, Physical Sciences, Computer Science, Medicine, Time-Stepping Schemes, Radiology, Finite Difference Schemes, Law, Mathematics, Numerical analysis
Finite difference, Computer Networks and Communications, QC1-999, FOS: Political science, Norm (philosophy), FOS: Law, Mathematical analysis, Quantum mechanics, Differential equation, Dynamics of Synchronization in Complex Networks, Numerical Methods for Singularly Perturbed Problems, Numerical Integration Methods for Differential Equations, Machine learning, FOS: Mathematics, STRIPS, Stability (learning theory), Political science, Eigenvalues and eigenvectors, Numerical Analysis, Physics, Mathematical optimization, Numerical stability, Partial differential equation, Tridiagonal matrix algorithm, Applied mathematics, Finite difference method, Computer science, Algorithm, Tridiagonal matrix, Gray (unit), Solver, Physical Sciences, Computer Science, Medicine, Time-Stepping Schemes, Radiology, Finite Difference Schemes, Law, Mathematics, Numerical analysis
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