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chapter2/ns_code2.ipynb

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"Author: Jørgen S. Dokken\n",
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"In this section, we will turn our attention to a slightly more challenging problem: flow past a cylinder. The geometry and parameters are taken from the [DFG 2D-3 benchmark](https://www.featflow.de/en/benchmarks/cfdbenchmarking/flow/dfg_benchmark3_re100.html) in FeatFlow.\n",
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"In this section, we will turn our attention to a slightly more challenging problem: flow past a cylinder. The geometry and parameters are taken from the [DFG 2D-3 benchmark](https://wwwold.mathematik.tu-dortmund.de/~featflow/en/benchmarks/cfdbenchmarking/flow/dfg_benchmark3_re100.html) in FeatFlow.\n",
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"To be able to solve this problem efficiently and ensure numerical stability, we will substitute our first order backward difference scheme with a Crank-Nicholson discretization in time, and a semi-implicit Adams-Bashforth approximation of the non-linear term.\n",
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chapter2/ns_code2.py

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#
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# Author: Jørgen S. Dokken
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#
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# In this section, we will turn our attention to a slightly more challenging problem: flow past a cylinder. The geometry and parameters are taken from the [DFG 2D-3 benchmark](https://www.featflow.de/en/benchmarks/cfdbenchmarking/flow/dfg_benchmark3_re100.html) in FeatFlow.
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# In this section, we will turn our attention to a slightly more challenging problem: flow past a cylinder. The geometry and parameters are taken from the [DFG 2D-3 benchmark](https://wwwold.mathematik.tu-dortmund.de/~featflow/en/benchmarks/cfdbenchmarking/flow/dfg_benchmark3_re100.html) in FeatFlow.
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#
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# To be able to solve this problem efficiently and ensure numerical stability, we will substitute our first order backward difference scheme with a Crank-Nicholson discretization in time, and a semi-implicit Adams-Bashforth approximation of the non-linear term.
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#

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