We focus on non-stationary Maxwell equations defined on a regular patch of elements as considered in the isogeometric analysis  . We apply the time-integration scheme following the ideas developed by the finite difference community [M. Hochbruck, T. Jahnke, R. Schnaubelt, Convergence of an ADI splitting for Maxwell's equations, Numerishe Mathematik, 2015] to derive a weak formulations resulting in a discretization with Kronecker product matrices. Going further, we investigate the application of the residual minimization (RM) method for stabilization of the Maxwell equations within the isogeometric analysis setup. The residual minimization method is introduced in every time step of the implicit time integration scheme. We introduce the RM in such a way that we preserve the Kronecker product structure of the matrix. We take the tensor product structure of the computational patch of elements from  IGA framework as an advantage, allowing for linear computational cost factorization in every time step , with the automatic stabilization guaranteed by the RM method .
We focus on non-stationary Maxwell equations defined on a regular patch of elements as considered in the isogeometric analysis (IGA) . We apply the time-integration scheme following the ideas developed by the finite difference community [M. Hochbruck, T. Jahnke, R. Schnaubelt, Convergence of an ADI splitting for Maxwell's equations, Numerishe Mathematik, 2015] to derive a weak formulation resulting in discretization with Kronecker product matrices. We take the tensor product structure of the computational patch of elements from the IGA framework as an advantage, allowing for linear computational cost factorization in every time step . We design our solver to target simulations of electromagnetic waves propagations in non-regular biological tissues. We show that the linear cost of the alternating direction solver is preserved when we arbitrarily vary material data coefficients across the computational domain. We verify the solver using the manufactured solution and the problem of propagation of electromagnetic waves on the human head .
A
(IGA)
R
formulations resulting in a
formulation resulting in
R
Going further, we investigate the application of the residual minimization (RM) method for stabilization of the Maxwell equations within the isogeometric analysis setup. The residual minimization method is introduced in every time step of the implicit time integration scheme. We introduce the RM in such a way that we preserve the Kronecker product structure of the matrix. We
We
A
the
R
, with the automatic stabilization guaranteed by the RM method
. We design our solver to target simulations of electromagnetic waves propagations in non-regular biological tissues. We show that the linear cost of the alternating direction solver is preserved when we arbitrarily vary material data coefficients across the computational domain. We verify the solver using the manufactured solution and the problem of propagation of electromagnetic waves on the human head