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The solution method, based on the Galerkin finite element and Newton iteration techniques, provided velocities and pressures for a wide range of Reynolds numbers and operational modes.
For the least-squares method, the choice of linearization technique influences the numerical performance, whereas the Galerkin and orthogonal collocation methods obtain the same numerical accuracy for both the Picard and Newton iteration techniques.
Our results show up to two orders of magnitude speedup in comparison to traditional "flat" dynamic programming approaches and up to an order of magnitude speedup over the extension of factored MDP approximate value iteration techniques to MDP-IPs while producing the lowest error of any approximation algorithm evaluated.
In this paper, a first-order system least squares finite element formulation is used to solve the nonlinear system of model equations using different iteration techniques, including an approach where the equations are fully coupled and two other approaches in which the equations are decoupled.
By variational methods and the Moser iteration techniques, the authors proved the existence of positive solutions and some properties of the nontrivial solutions to (1.3).
By employing variational methods and the Moser iteration techniques, the authors obtained the existence of positive solutions and some properties of solutions to (1.3).
Similar(52)
For the decoupled solution of the two models, we introduce a functional iteration technique that extends the classical Gummel algorithm widely used in the iterative solution of the DD system.
By using the properties of the Green's function and the monotone iteration technique, one shows the existence of positive solutions and constructs two successively iterative sequences to approximate the solutions, especially numerically simulates the conclusion by an example.
The bandwidth of the antenna has been increased by using Koch iteration technique.
The resulting generalized eigenvalue problem is solved by a simultaneous iteration technique.
Wave front analysis is generalized for non-linear systems through Picard's iteration technique.
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