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The rho_x parameter isn't documented in the JOTA paper nor the longer version of it. Judging by its name, this variable seems like it should be the ADMM step size parameter in traditional presentatio…
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Hello!
Thank you for your paper and code!
I'm planning to read the paper in the next days, but now I've tested OpenCV implementation of the algorithm and I can say it works a way better than other …
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The work is twofold:
1. Investigate [1] which is an approach to transform SPD classes in a convex model.
2. Investigate [2], which a quantum approach to convex optimization.
[1] K. Zhao, A. Wilie…
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I just stumbled upon the fact that we have one method `power_iterations!` in MRIReco (which in turn is used by espirit) and a similar method `power_iterations` in RegularizedLeastSquares. The only dif…
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You mentioned: "Instead of directly using the latent image z = Gθ1(y), NN employs a linear combination of the noisy image y and the latent image z as the final result after transformation."
Howe…
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We consider TV-like problem of the form
![](https://latex.codecogs.com/svg.image?\min_{x&space;\in&space;\mathbb{R}^{p}}&space;f(Ax&space;-&space;y)&space;+&space;g(D&space;x))
where $f,g$ ar…
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http://support.sas.com/resources/papers/HPGENSELECTscalability.pdf
refers to http://blog.revolutionanalytics.com/2012/10/allstate-big-data-glm.html
150 million observations and 70 degrees of freedom
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Hi, Thanks for the project! I'm interested in solving procrustes using a more robust metric of dispersion than F norm.
I saw a couple papers online that solve e.g. smooth surrogates of l1, but won…
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Here is an example that could be added to the test suite, for my problem I need to send matrices instead of vectors to the lasso solver:
```
using ParallelSparseRegression
dimensions, components, sa…
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Running v0.4.1.
Calling as:
OSQPWorkspace* work = osqp_setup(data, settings);
c_int exitflag = osqp_solve(work);
The resulting solution work->solution->x is often infeasible.
The status exit…