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I am trying to do a simulation in a SFC input-output model with ecological restoration of environmental impacts. Nonetheless, whenever I try to run it, it always displays : error inv(): matrix is sing…
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**Concisely describe the proposed feature**
I want to access sparse matrix like
A[i,j] in a kernel function. The advantage of this usage is that I can define my own matrix solver like jacobian iter…
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Hi all,
I am trying to get gradients on a QP solution, but I am having the following error: *ValueError: Can't apply Jacobian with a quadratic objective.*
This is the trace:
```
File python3.8/si…
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The current implementation of `StructuredMesh1D` uses the volume integral and interface flux from `TreeMesh`, which assume Cartesian grids. Creating a `StructuredMesh1D` with a nonlinear `mapping` cau…
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The current Jacobian helper function implementation in `gradient.py` seems like it might be slower than it needs to be. Given a vector output (size _N_) of a graph with a vector input (size _M_), it c…
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Reviewing the stiffness matrix for Timoshenko beam's in Cook's finite element textbook (4th edition), when kappa-->inf (or k=1/kappa=0 in the Cook textbook), the bending stiffness matrix reduces to th…
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It would be great if we have a function in `MBP`, to return all the joints on the kinematics chains from one link to another link. This function is useful for imposing the sparsity structure in Jacobi…
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This issue is to track the developments needed to finalize and validate the DLL implementation.
**Goal:**
By the end of October, have the first draft of the paper.
This goal incorporates sever…
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Hello,
I would like to compute the inner product J * Sigma * J^T, where J is the Jacobian of a neural network and Sigma is a diagonal matrix of size p by p, where p is the number of network paramet…
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Some functions have sparse Jacobian or sparse Hessian and it can be usefull to obtain them as sparse matrices rather than accessing to the values through vector-jacobian or vector-hessian products fu…