In this technical paper, we applied the best numerical method associated with an adequate algorithm we have developed for solving aircraft trajectory optimization problem.
Despite some of the deficiencies of turbulence models, the best modern computational models (and numerical methods) allow almost all flows to be calculated to higher accuracy than the best-informed guess.
However, to the best of our knowledge, few numerical methods to the initial-boundary value problem of Rosenau-KdV equation have been studied till now [4, 5].
However, to the best of our knowledge, most of the digital physics numerical methods only gave estimates of elastic modulus and did not take into account the non-linear elastic rock behavior.
However, to the best of our knowledge, little has been presented about the stability of numerical methods to SDEs with Poisson random measure.
But to the best of our knowledge, up to now, there are few articles referring to numerical methods for impulsive delay differential equations with piecewise constant arguments.
For some numerical methods, auto-tuning at installation time cannot be applied directly, since the best implementation variant may strongly depend on the specific numerical problem to be solved.
Finding the best value for η is a difficult task when relying upon analytical methods; one can think of numerical methods to tackle a relation close to optimal solution.
For the non-linear model problem, a hybrid method combining the classical Runge Kutta scheme with a modified Patankar-type scheme gives the best numerical approximation.
A key feature of our approach is the use of iterative numerical methods to solve the inverted KM equations, which is necessary to obtain consistent results and make the best use of the information available.
