-
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…
-
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…
-
I’d like to discuss something a bit heretical (repost from a Discord discussion with @SteveDiamond).
I recently had to solve a problem related to calculating accumulated rectangular areas and taki…
-
Many Data science researchers and practitioners needs reliable framework for convex optimization to be able modify the core of existing machine learning methods or create new machine learning methods.…
-
# 03-01-01 Definition · 모두를 위한 컨벡스 최적화
[https://convex-optimization-for-all.github.io/contents/chapter03/2021/02/12/03_01_01_convex_functions_definition/](https://convex-optimization-for-all.github…
-
-
Support Vector Machines (SVM) is a supervised machine learning algorithm for classification and regression tasks. SVM works by finding the optimal hyperplane that separates data points of different cl…
-
**Describe the bug**
When using `requires_grad=True`, simple convex optimization problems throw segmentation faults.
**To Reproduce**
```python
import numpy as np
import cvxpy as cp
if…
-
### I'm submitting a
- [x] bug report.
### Current Behaviour:
SVR in `src/svm/svr.rs` takes too long to run
### Expected Behaviour:
the doc example and the test should return in subsecond ti…
-
# 03-05 Log-concave and log-convex functions · 모두를 위한 컨벡스 최적화
[https://convex-optimization-for-all.github.io/contents/chapter03/2021/02/12/03_05_log_concave_and_log_convex_functions/](https://conve…