GitHub - jacoguzo/Computational_Math: A variety of computational numerical methods in Python to solve PDEs, ODEs, Eigenvalue Decompositions, and Optimization Problems

This is the read me of computational math

Name		Name	Last commit message	Last commit date
GSD.py		GSD.py
JAC128.py		JAC128.py
JACOBI.py		JACOBI.py
Newton_method.py		Newton_method.py
README.md		README.md
RK4_hw_10.py		RK4_hw_10.py
backward_euler.py		backward_euler.py
forward_euler_hw10.py		forward_euler_hw10.py
forward_euler_multidimensional.py		forward_euler_multidimensional.py
gauss_seidel_iteration.py		gauss_seidel_iteration.py
gradient_descent.py		gradient_descent.py
inverse_power_method.py		inverse_power_method.py
jacobi_GS_convergence.py		jacobi_GS_convergence.py
jacobi_iteration.py		jacobi_iteration.py
newton_method_graph.py		newton_method_graph.py
power_method.py		power_method.py
q3_hw_10_4300.py		q3_hw_10_4300.py
q8.py		q8.py
qr_decomposition.py		qr_decomposition.py
rk4_multi_dimentional.py		rk4_multi_dimentional.py
runge_kunta.py		runge_kunta.py
smallest_eigenvalue.py		smallest_eigenvalue.py
smoothing3.py		smoothing3.py
spectral_radius.py		spectral_radius.py
stabilized_euler_hw10.py		stabilized_euler_hw10.py
trapezoidal.py		trapezoidal.py

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