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Matrix operations and methods

Project description

matxforge

matxforge is a simple Python library for performing matrix operations.
It supports basic linear algebra operations, including addition, subtraction, multiplication, determinant, transpose, reshaping, and even negative powers (using matrix inverse).


Features

  • Create matrices from lists of lists or single row.
  • Matrix addition, subtraction, scalar multiplication, and matrix multiplication.
  • Transpose, flatten, and reshape matrices.
  • Determinant calculation for square matrices.
  • Check for square, identity, symmetric, or zero matrices.
  • Raise a matrix to a positive or negative integer power.
  • Compute matrix inverse (for square, non-singular matrices).
  • Element-wise division by a scalar.
  • Operator overloading for Pythonic syntax:
    A + B
    A - B
    A @ B      # matrix multiplication
    A * 3      # scalar multiplication
    3 * A      # scalar multiplication
    A ** -1    # matrix inverse
    A ** 3     # matrix power
    

Usage example

from matops import matrix

Create matrices

A = matrix([[1, 2], [3, 4]]) B = matrix([[5, 6], [7, 8]])

Arithmetic operations

C = A + B D = A - B E = A @ B F = A * 2 G = 2 * A H = A / 2

Properties

print(A.is_square()) # True print(A.is_identity()) # False print(A.is_symmetric()) # False print(A.is_zero()) # False

Advanced

det = A.determinant() A_inv = A.inverse() A_pow = A ** 3 A_neg = A ** -1 A_T = A.transpose() flat = A.flatten() reshaped = A.reshape(1, 4)

Project details


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