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The current documentation is limited to the `Readme.md` file. A more in depth guide on how to use the toolbox combined with the mathematical basics would be beneficial.
**Proposed structure:**
1…
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Please:
- [x ] Check for duplicate requests.
- [x ] Describe your goal, and if possible provide a code snippet with a motivating example.
I'm interested in implementing `solve_discrete_lyapunov…
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Hi,djagt
I encountered a problem about sosdemo2. The reason was that I made the following changes:
`% Constructing the vector field dx/dt = f
f = [-x1^3-x1*x3^2;
-sin(x2)-x1^2*x2;
-x3+3…
Yngjx updated
11 months ago
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I implemented several linear operators related to solve control problems. An example is the Lyapunov operator L: X -> AX+XA', where A is a squre matrix. This operator acts usually on symmetric/hermiti…
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Currently these equations live in different modules and some of them are not easily discoverable.
For all of them there are also several possible implementations:
- in scipy (calling linpack)
- in qu…
albop updated
9 years ago
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Bidirectional coloring is important to efficiently calculate Jacobians which have certain sparsity structures, for example
```
xxxxx
xx000
x0x00
x00x0
x000x
```
Note that whenever the Jacobian is ac…
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- various plots need token_k_value/TVL over time
- add column providing token_k_value = token_k_balance * token_k_price
- add column providing TVL = sum of all token_k_value
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Multilinear operators (tensors) appear in quadratic systems. If a linear system is
```
x' = A x + B u,
y = C x,
```
a quadratic system would be
```
x' = A x + H^(1) (x kron x) + B u,
y = C x.
```
…
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Both tool participants and outsiders such as industry partners can propose benchmarks. All benchmarks must be in .onnx format and use .vnnlib specifications, as was done last year. Each benchmark must…
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## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…