https://github.com/pulkin/curious

Parallel sampling of multidimensional functions
https://github.com/pulkin/curious

integration numerical-optimization numpy python sampling scipy

Last synced: about 2 months ago
JSON representation

Parallel sampling of multidimensional functions

• Host: GitHub
• URL: https://github.com/pulkin/curious
• Owner: pulkin
• Created: 2019-10-04T12:32:28.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-06-27T00:24:38.000Z (almost 3 years ago)
• Last Synced: 2025-02-05T20:03:16.238Z (4 months ago)
• Topics: integration, numerical-optimization, numpy, python, sampling, scipy
• Language: Python
• Homepage:
• Size: 125 KB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md

Awesome Lists containing this project

README

        
[![Build Status](https://dev.azure.com/gpulkin/curious/_apis/build/status/pulkin.curious?branchName=master)](https://dev.azure.com/gpulkin/curious/_build/latest?definitionId=1&branchName=master)

curious - parallel function sampling

====================================

Samples multidimensional scalar functions by observing curvature features.

Uses arbitrary executables as a target function.

Based on `scipy` triangulation `scipy.spatial.Delaunay`.

Inspired by [python-adaptive](https://github.com/python-adaptive/adaptive).

Install

-------

TBD

Use

---

General usage info:

```commandline

python -m curious --help

```

Custom build

------------

Perform these 3 steps inside the repository folder.

1. Install build system

    ```commandline

    pip install build

    ```

2. Build

    ```commandline

    python -m build

    ```

3. Install

    ```commandline

    pip install dist/*.whl

    ```