A method numerical analysis package
Project description
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:
pip install mnx
Usage
Here's a simple example of how to use mnx:
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.
Contact
If you have any questions or feedback, please feel free to contact us.
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