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Jupyter Notebook
Created over 2 years ago
Updated over 2 years ago

torreblanca99

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It includes a program that solves the Poisson Equation in two dimensions and another that solves the time independent schrodinger equation for an arbitrary potential. Here some numerical methods for solving Partial Differential Equations were used: Jacobi, Gauss-Seidel and Runge-Kutta. The libraries implemented were sympy, numpy and matplotlib.

Numerical_Physics_6_Curve_Fitting

It contains some examples of curve fitting. Cubic Splines and Lagrange Interpolation were used to adjust the curves and also Newthon-Rapson to solve equations. The libraries implemented were Numpy, Sympy, Pandas and Matplotlib.

Jupyter Notebook

NumericPhysics_1_Sin_Function

It contains a program to calculate sin(x) using Taylor's aproximations.

TeX

Numerical_Physics_4_RandomWalk

It includes a program that plots a random walk in 2D using Numpy and Matplotlib.

Jupyter Notebook

Numerical_Physics_8_Parabolic_Motion_Solution

It includes a program that solve de diferential equation of parabolic motion of a bullet in three different cases. The libraries used were Numpy and Matplotlib.

Jupyter Notebook