WUT_Computer_Science/code/matrix_generator.py

import numpy as np

class MatrixGenerator:
    @staticmethod
    def generate_random_matrix_and_vector(size):
        A = np.random.uniform(-1, 1, (size, size))
        b = np.random.uniform(-1, 1, size)
        return A, b

    def generate_identity_matrix(size):
        return np.eye(size)
Add sequential version of Richardson's algorithm and first tests 2024-10-20 16:30:42 +02:00			`import numpy as np`

			`class MatrixGenerator:`
			`@staticmethod`
			`def generate_random_matrix_and_vector(size):`
			`A = np.random.uniform(-1, 1, (size, size))`
			`b = np.random.uniform(-1, 1, size)`
			`return A, b`
feat: convergence method suggested by wikipedia 2024-10-20 17:47:37 +02:00
			`def generate_identity_matrix(size):`
			`return np.eye(size)`