mnx-solver


Namemnx-solver JSON
Version 0.1.0.3 PyPI version JSON
download
home_pagehttps://github.com/0xCamiX/mnx
SummaryA method numerical analysis package
upload_time2024-03-27 02:44:50
maintainerNone
docs_urlNone
author0xCamiX
requires_pythonNone
licenseMIT
keywords numerical analysis math methods
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # MNx: A Numeric Methods Library

`MNx` is a robust and efficient Python library designed to solve complex numerical problems. It provides a wide range of methods for solving linear systems, including the Gauss and Gauss-Jordan methods. The library is designed with flexibility in mind, allowing for the input of single arrays or lists of arrays.

## Features

- **Gauss Method**: Solve linear systems using the Gauss method.
- **Gauss-Jordan Method**: Solve linear systems using the Gauss-Jordan method.
- **Optimization**: Choose the best method for solving a system based on the given input.
- **Flexibility**: Accepts both single arrays and lists of arrays as input.

## Installation

You can install `mnx` using pip:

```bash
pip install mnx
```

## Usage

Here's a simple example of how to use `mnx`:

```python
import numpy as np
from mnx.exact_linear_methods.Solver import LinearSolver

# Define the system
A = np.array([[3, 2], [1, 2]])
b = np.array([2, 1])

# Create a GaussMethod instance
mnx = LinearSolver(A, b)

# Solve the system
print(mnx)
```

## License

`mnx` is licensed under the [MIT License](LICENSE).

## Contact

If you have any questions or feedback, please feel free to [contact us](mailto:juancamilogallego70@icloud.com).

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/0xCamiX/mnx",
    "name": "mnx-solver",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "numerical, analysis, math, methods",
    "author": "0xCamiX",
    "author_email": "juancamilogallego70@icloud.com",
    "download_url": "https://files.pythonhosted.org/packages/c2/73/41043b985ea0fab9057766f29e1c56930ed048c460935a43a27eff2dd838/mnx-solver-0.1.0.3.tar.gz",
    "platform": null,
    "description": "# MNx: A Numeric Methods Library\n\n`MNx` is a robust and efficient Python library designed to solve complex numerical problems. It provides a wide range of methods for solving linear systems, including the Gauss and Gauss-Jordan methods. The library is designed with flexibility in mind, allowing for the input of single arrays or lists of arrays.\n\n## Features\n\n- **Gauss Method**: Solve linear systems using the Gauss method.\n- **Gauss-Jordan Method**: Solve linear systems using the Gauss-Jordan method.\n- **Optimization**: Choose the best method for solving a system based on the given input.\n- **Flexibility**: Accepts both single arrays and lists of arrays as input.\n\n## Installation\n\nYou can install `mnx` using pip:\n\n```bash\npip install mnx\n```\n\n## Usage\n\nHere's a simple example of how to use `mnx`:\n\n```python\nimport numpy as np\nfrom mnx.exact_linear_methods.Solver import LinearSolver\n\n# Define the system\nA = np.array([[3, 2], [1, 2]])\nb = np.array([2, 1])\n\n# Create a GaussMethod instance\nmnx = LinearSolver(A, b)\n\n# Solve the system\nprint(mnx)\n```\n\n## License\n\n`mnx` is licensed under the [MIT License](LICENSE).\n\n## Contact\n\nIf you have any questions or feedback, please feel free to [contact us](mailto:juancamilogallego70@icloud.com).\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "A method numerical analysis package",
    "version": "0.1.0.3",
    "project_urls": {
        "Download": "https://github.com/0xCamiX/mnx/archive/refs/heads/main.zip",
        "Homepage": "https://github.com/0xCamiX/mnx"
    },
    "split_keywords": [
        "numerical",
        " analysis",
        " math",
        " methods"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4fd1ba0e1971e463b98c051e61ba8e22342a87d774084cee1ab338bec61546cd",
                "md5": "45609984edee71bde2d2d9ab1556bfcf",
                "sha256": "c0c711139b38eff6ed0deff73dc87293801f9665f00647399c5044781f8e8473"
            },
            "downloads": -1,
            "filename": "mnx_solver-0.1.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "45609984edee71bde2d2d9ab1556bfcf",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 20678,
            "upload_time": "2024-03-27T02:44:49",
            "upload_time_iso_8601": "2024-03-27T02:44:49.095441Z",
            "url": "https://files.pythonhosted.org/packages/4f/d1/ba0e1971e463b98c051e61ba8e22342a87d774084cee1ab338bec61546cd/mnx_solver-0.1.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c27341043b985ea0fab9057766f29e1c56930ed048c460935a43a27eff2dd838",
                "md5": "b4d4fc4aa5d432770bbfae9f913b0a55",
                "sha256": "d8bd00956f4d46fb145c8b02dbc493e2e170b6cd9dfe682e064ee5a4ddd0cfa5"
            },
            "downloads": -1,
            "filename": "mnx-solver-0.1.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "b4d4fc4aa5d432770bbfae9f913b0a55",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 10794,
            "upload_time": "2024-03-27T02:44:50",
            "upload_time_iso_8601": "2024-03-27T02:44:50.817608Z",
            "url": "https://files.pythonhosted.org/packages/c2/73/41043b985ea0fab9057766f29e1c56930ed048c460935a43a27eff2dd838/mnx-solver-0.1.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-27 02:44:50",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "0xCamiX",
    "github_project": "mnx",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "mnx-solver"
}
        
Elapsed time: 0.21705s