rr-echelon-f-48 0.0.1

A small package for solving linear equations system and converting into reduced row echelon form

RREF_Package

The RREF_Package provides an efficient implementation for computing the Reduced Row Echelon Form (RREF) of a given matrix. It simplifies matrices to a canonical form, making it useful for solving linear systems, rank determination, and inverse calculations.

Developed by [Your Name] (c) 2024

Installation

You can install the package using pip:

pip install rref_package

Features

• Compute the Reduced Row Echelon Form (RREF) of any matrix.
• Supports integer, floating-point matrices.
• Handles both square and rectangular matrices.
• Provides step-by-step transformation details (optional).

Example Usage

from rref_package import RREF

# Define a matrix
matrix = [
    [1, 2, -1, 3],
    [2, 3, 4, 1],
    [1, -1, 1, 2]
]

# Compute RREF
rref_matrix = rref.full_solve(list of equations)

# Print result
for row in rref_matrix:
    print(row)

Additional Features

# Optional: Show step-by-step row operations
rref_matrix, steps = RREF.compute_with_steps(matrix)

# Display transformation steps
for step in steps:
    print(step)

API Reference

RREF.compute(matrix: list) -> list

Computes the reduced row echelon form of the given matrix.

RREF.compute_with_steps(matrix: list) -> tuple

Returns the RREF along with a list of row operations performed.

License

This project is licensed under the MIT License.

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Feel free to contribute or report issues on GitHub!