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While pyMOR's interface design has many benefits (e.g. allowing matrix free implementations, mpi distributed data without any additional work), there are many relevant MOR algorithms which directly ne…
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Now that the solver is more general. I would like to draw the core team's attention to the API :
Currently, the solvers are named as
```
sp.linalg.solve_continuous_are
sp.linalg.solve_discrete_are…
ilayn updated
7 years ago
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For the moment, I would suggest to concentrate on using Automatic Differentiation, rather than hand-coded Jacobians or symbolic.
Do you have examples where you have checked that hand-coded Jacobia…
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While working with TaylorIntegration.jl and TaylorSeries.jl, I came across a notable slowdown after PR #99. While benchmarking TaylorIntegration.jl tests using commit [3a8e12e](https://github.com/Pere…
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Stationary initialization computes the initial state covariance matrix for the Kalman filter by solving a discrete Lyapunov equation. The discrete Lyapunov solver (in this case from Scipy) explicitly …
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There is no Lyapunov / Sylvester solver built-in to Julia, for solving
AXB + CXD = F
This could be fixed by wrapping the LAPack xTRSYL routine.
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This is something we do a lot of. At present we use SciPy's solve_discrete_lyapunov. It might be worth comparing this against Tom's doublej routine.
jstac updated
10 years ago
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using `scipy.linalg.solve_laypunov` where the dtype of `A` is `float64` and the dtype of `B` is `uint8`, I got some quite unexpected results. Using `float64` for both arrays gave a different (correct)…
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Steps to reproduce:
1. Build ACADO from `stable` branch with MSVC.
2. Open MATLAB R2014a
3. `cd e:\acado\interfaces\matlab`
4. `mex -setup C++`. Choose _Microsoft Visual C++ 2013 Professional_ or _Mic…
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No custom sparsity pattern propagation has been implemented for the LinearSolver class. Instead it falls back on the assumption that all outputs depend on all inputs.
``` python
x = msym("x",10)
b =…