Jonas I. Liechti

We have both: https://github.com/alexbovet/flow_stability/blob/main/COPYING and https://github.com/alexbovet/flow_stability/blob/main/COPYING.LESSER Both are OSI approved, however, I'm not sure if they can be used jointly. Probably using one should be enough.

Having a dedicated branch on which we collect only commit specific to the content of the paper seems a sensible approach to me. @alexbovet should we create a branch, say...

Started with the dedicated branch: https://github.com/alexbovet/flow_stability/tree/paper

We should first clarify #9 so that we can start with adding submission specific content.

Started with the basic layout: https://github.com/alexbovet/flow_stability/commit/5c9c4a3c47feda482bbbbac31bc42e8354036559 I'll close this issue and we can open new ones for more specific changes

@alexbovet do you want to start with this?

We have some issues with the type declarations for `indices` and `indptr`: https://github.com/alexbovet/flow_stability/actions/runs/10513029536/job/29127746857#step:5:116 It also seems not completely consistent in the defs: E.g. for `indptr` some functions require `int`: https://github.com/alexbovet/flow_stability/blob/8648a8bd715e3b086ed13cb7453d41754c176398/src/flowstab/_cython_sparse_stoch.pyx#L859-L863...

Starting to add some tests for the usage of `mkl`: For `dot_product_mkl` it seems not obvious that there is a speed benefit as compared to `scipy`'s `@`. Using very sparse...

In a more multi-threading friendly environment (i.e. my laptop) things look indeed different: ```bash ==================================== MEMRAY REPORT ===================================== Allocation results for tests/test_sparse_stoch_matrix.py::test_sparse_matmul_mkl_memory at the high watermark 📦 Total memory allocated:...

> In a more multi-threading friendly environment (i.e. my laptop) things look indeed different: > > ```shell > ==================================== MEMRAY REPORT ===================================== > Allocation results for tests/test_sparse_stoch_matrix.py::test_sparse_matmul_mkl_memory at the high...