This thesis considers the application of the type II third order WENO finite volume reconstruction for unstructured tetrahedral meshes proposed by Zhang and Shu in (CCP, 2009) and the third order multirate Runge-Kutta time-stepping to the solution of Maxwell's equations. The dependance of accuracy of the third order WENO scheme on the small parameter in the definition of non-linear weights is studied in detail for one-dimensional uniform meshes and numerical results confirming the theoretical analysis are presented for the linear advection equation. This analysis is found to be crucial in the design of the efficient three-dimensional WENO scheme, full details of which are presented. Several multirate Runge-Kutta (MRK) schemes which advance the solution with local time-steps assigned to different multirate groups are studied. Analysis of accuracy of three different MRK approaches for linear problems based on classic order-conditions is presented. The most flexible and efficient multirate schemes based on works by Tang and Warnecke (JCM, 2006) and Liu, Li and Hu (JCP, 2010) are implemented in three-dimensional finite volume time-domain (FVTD) method. The main characteristics of chosen MRK schemes are flexibility in defining the time-step ratios between multirate groups and consistency of the scheme. Various approaches to partition the three-dimensional computational domain into multirate groups to maximize the achievable speedup are discussed. Numerical experiments with three-dimensional electromagnetic problems are presented to validate the performance of the proposed FVTD method. Three-dimensional results agree with theoretical and numerical accuracy analysis performed for the one-dimensional case. The proposed implementation of multirate schemes demonstrates greater speedup than previously reported in literature. / February 2016

Schwerpunkt dieser Arbeit ist die Untersuchung einer Klasse von Diskretisierungsmethoden für nichtlineare optimale Steuerungsprobleme mit gewöhnlichen Differentialgleichungen und Steuerungsbeschränkung sowie die Durchführung von numerischen Experimente. Die theoretischen Untersuchungen basieren aus einem gekoppeltes Parametrisierungs-Diskretisierungsschema aus stückweise polinomialen Ansatz für die Steuerung und einen Runge-Kutta-Verfahren zur Integration der Zustands-Differentialgleichung. Die Konvergenzordnung der Lösung wird unter Regularitätsbedingung und Optimalitätsbedingung 2.Ordnung ermittelt. Außerdem wird eine Möglichkeit zur numerischen Berechnung der Gradienten über internen numerischen Differentiation erläutert. Schließlich werden einige numerischen Resultate gegeben und die Abhängigkeiten zur den theoretischen Konvergenzresultate diskutiert. / The focal point of this work is the investigation of a class of discretization methods for nonlinear optimal control problems governed by ordinary differential equations with control restrictions, as well as the implementation of some numerical experiments. The theoretical investigations are based on a coupledparameterization-discretization pattern, a piecewise linear parameterization representation of the control, and the application of a Runge Kutta method for the integration of the differential state equation. The rate of convergence of the solution is obtained with the help of regularity conditions and the second order optimality conditions. Furthermore, we also present in this paper a possibility of the numerical computation of the gradients via numerical differentiation. Finally some numerical results are given and their relationship to the theoretical convergence results are discussed.

The main aim of this work is to study the thermal conductivity of base fluid with mild inclusion of nanoparticles. We perform numerical study for transportation of Maxwell nanofluids with activation energy and Cattaneo–Christov flux over an extending sheet along with mass transpiration. Further, bioconvection of microorganisms may support avoiding the possible settling of nanoentities. We formulate the theoretical study as a nonlinear coupled boundary value problem involving partial derivatives. Then ordinary differential equations are obtained from the leading partial differential equations with the help of appropriate similarity transformations. We obtain numerical results by using the Runge–Kutta fourth-order method with shooting technique. The effects of various physical parameters such as mixed convection, buoyancy ratio, Raleigh number, Lewis number, Prandtl number, magnetic parameter, mass transpiration on bulk flow, temperature, concentration, and distributions of microorganisms are presented in graphical form. Also, the skin friction coefficient, Nusselt number, Sherwood number, and motile density number are calculated and presented in the form of tables. The validation of numerical procedure is confirmed through its comparison with the existing results. The computation is carried out for suitable inputs of the controlling parameters.