fpicetti / occamypy Goto Github PK
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License: Other
Python library for solving large-scale inverse problems
License: Other
occamypy/occamypy/problem/linear.py
Line 231 in 0d67186
This computation can be useful for other applications.
Sometimes, useful operators are developed in MATLAB. It would be useful to have a Operator interface that execute matlab scripts.
In See here
Hello Dr. @biondiettore
Thanks for sharing this package. This package is very interesting.
And the 2D travel-time tomography tutorial is very attractive.
Is the 2D travel-time tomography suit for cross-hole type tomography?
Best regards,
Xi
Dear Dr.Picetti @fpicetti
Thanks for sharing tutorials about automatic differentiation.
These tutorials are very interesting.
I have some question.
1.For my understating, I only need define the forwarding operator and cost function with automatic differentiation. Is it right?
3.Would you like add some more tutorials about VSP(1D), tomography (2D) inversion with automatic differentiation? I think the implements are very helpful.
Best regards,
Xi
The Alternating Direction Method of Multipliers is a powerful proximal algorithm that can be useful for Generalized LASSO problems.
Create FromPylops
and ToPylops
linear operators.
Probably the main issue is Dask.
CNNs can be seen as nonlinear operators.
Two ideas here:
VectorTorch
method to build a torch.nn.Parameter
object, to be passed to torch.optim
.Hi, thanks for sharing this great package.
I have defined my forward problem. Is it nessary to give the function of Jacbian matrix for LeastSquares inversion? And how to define the function of Jacobian matrix?
I install your package, but I can not use it. As I import the package in python, it gives this error:
Can you help me to resolve this issue?
File "C:\Users\Arash\anaconda3\lib\site-packages\occamypy\utils\sep.py", line 8, in <module>
HOME = os.environ["HOME"]
File "C:\Users\Arash\anaconda3\lib\os.py", line 675, in __getitem__
raise KeyError(key) from None
KeyError: 'HOME'
Dear sir,
Thanks for this great package.
Your tutorial helps me alot.
However, I want invert some value based eikonal equation and it's adjoint state equation.
My goal is to fit Bessel_j0(a*t), where a is a constant, t is travel time.
How to invert it using adjoint state? This problem has plagued me for several months.
Looking forward to your reply.
Best regards,
Xi
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