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Hi, developers!
My question is, is there any plan to support Convex.jl here with AD like [cvxpylayers](https://github.com/cvxgrp/cvxpylayers)?
For AD of the solution to (convex) optimization probl…
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Hi All --
I am solving an SDP program on say a matrix of n x n dimensions. I am using CVXPY with SCS solver and using GPU to solve the problem. Using SCS with GPU is a huge improvement over using CVX…
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I tried to run entire pipeline with dtu dataset scan24
```bash
./runLine3Dpp_colmap -i ./data/dtu_dataset/DTU/scan24/images -m ./data/dtu_dataset/DTU/scan24/sparse/0 -p 2.5
python colmapToRANSACInp…
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The adjoint and finite-difference gradients are inconsistent when the `EigenmodeCoefficient` adjoint solver in Meep is applied to a case similar to that in @oskooi's [metagrating-meep.py](https://gith…
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- OS: Windows 7
- SCS Version: SCS v2.1.2
- Compiler: comes with visual studio 2019
## Description
SCS solver gives non-optimal result when running in CVXPY for semivariance portfolio optimiz…
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I need to use CBC solver for mixed integer optimization problem, however in the target environment I cannot use CBC solver installed as an outsource software, it has to be a part of the python library…
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Sometimes when I solve a problem, cvxpy's status code is "optimal", but the resulting cvxpy Constraint objects have very large violation (on the order of 1e0 or even 1e1 on an absolute scale).
**Wh…
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Within a short amount of time, I have heard from three different developers that they require quadratic constraints. @KristianJensen you probably have the best idea why those were not implemented yet.…
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The purpose of this ticket is to
- connect SageMath to interfaces to optimization solvers that are maintained outside of the Sage project,
- integrate the related developer and user communities…
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Hi Team
I read about [the project](https://github.com/jump-dev/GSOC2020/blob/master/ideas-list.md#optimization-problem-differentiation) to enable `JuMP.jl` differentiate solution of problem w.r.t. …