semvec/pypi-packages huggingface dataset:
Regularisation-Methods-for-HVIs 1.1
Package aimed at solving variational inequalities over the solution set of a monotone inclusion.
Requires Python: >=3.9

# Regularisation Methods for HVIs

This repository contains a hierarchical solver packaged for Python. The solver is aimed at variational inequalities
defined over the solution set of a monotone inclusion problem. The problem setting and the employed algorithm are
described in [[1]](#1).

## Installation

The package is available through pip, and may be installed via:

```bash
pip install Regularisation-Methods-for-HVIs
```

If running the package locally, you can install it using:

```bash
pip install .
```

## Examples

Examples may in found in
the [/examples](https://github.com/Hierarchical-VIs/Regularisation-Methods-for-HVIs/tree/main/examples) directory of the
repository. These examples additionally constitute the plots generated in the paper [[1]](#1).

## References

<a id="1">[1]</a> Yet unpublished.
pyaibote 2.0.1
A pure code RPA office automation framework, which supports Android, Browser and Windows
Requires Python: <4.0,>=3.5

Support Android native APP and H5 interface elements and color positioning. The speed of element location is 10 times that of Appium framework, and the color location of 2340*1080 image only takes 50 milliseconds, It supports the positioning of window interface elements and colors developed by Windows applications,. NET, WinForm, WPF, QT, Java (GUI libraries such JAVA(Swing and AWT) and Electron. The exclusive xpath algorithm is concise and rapid, and the positioning speed of elements/colors is 3 times and 20 times that of visual RPA, respectively, All browsers and applications that support the chromium kernel. A web automation framework developed by C/C++ language based on browser kernel protocol. Ten times faster than Selenium