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Titlebook: Ergodic Theory, Analysis, and Efficient Simulation of Dynamical Systems; Bernold Fiedler Conference proceedings 2001 Springer-Verlag Berli

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21#
發(fā)表于 2025-3-25 07:14:52 | 只看該作者
https://doi.org/10.1007/978-3-642-11297-3ed for the purpose of conformational dynamics appears as the red line throughout the paper. Different steps of the algorithm are exemplified by a trinucleotide molecular system as a small representative of possible RNA drug molecules.
22#
發(fā)表于 2025-3-25 07:53:04 | 只看該作者
2 Models and Measures of Sexual Orientation,e second part describes a new algorithm for the two dimensional Stefan problem. Here the free boundary is represented as a level set. This allows to handle topological changes of the free boundary. The accuracy of the method is verified and various numerical simulations, including topological changes of the free boundary, are presented.
23#
發(fā)表于 2025-3-25 12:04:38 | 只看該作者
24#
發(fā)表于 2025-3-25 19:44:26 | 只看該作者
25#
發(fā)表于 2025-3-25 21:12:22 | 只看該作者
26#
發(fā)表于 2025-3-26 01:50:34 | 只看該作者
Simulation and Numerical Analysis of Dendritic Growth,e second part describes a new algorithm for the two dimensional Stefan problem. Here the free boundary is represented as a level set. This allows to handle topological changes of the free boundary. The accuracy of the method is verified and various numerical simulations, including topological changes of the free boundary, are presented.
27#
發(fā)表于 2025-3-26 07:59:53 | 只看該作者
Aspects on Data Analysis and Visualization for Complicated Dynamical Systems,nomena by partial differential equations, in the postprocessing of data such equations naturally arise as well. Finally, the method for the dense covering of an invariant manifold with streamlines is outlined, which enables us to represent the geometry of the objects, statistical information on it, and the local flow properties at the same time.
28#
發(fā)表于 2025-3-26 08:44:49 | 只看該作者
29#
發(fā)表于 2025-3-26 13:14:08 | 只看該作者
30#
發(fā)表于 2025-3-26 16:47:59 | 只看該作者
https://doi.org/10.1007/978-981-16-6538-7the robustness of random attractors under perturbations of the system are given. Our numerical algorithm is applied to the stochastically forced Duffing oscillator, which supports for certain parameter values a non trivial random SRB measure.
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