Julio CΓ©sar Avila Torreblanca (@torreblanca99)
github

torreblanca99

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  • Stars
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    10
  • Global Rank 972,962 (Top 34 %)
  • Followers 5
  • Following 16
  • Registered over 4 years ago
  • Most used languages
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         75.0 %
    TeX
         25.0 %
  • Location πŸ‡²πŸ‡½ Mexico
  • Country Total Rank 3,357
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    TeX
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    Jupyter Notebook
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Top repositories

1

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
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2

Numerical_Physics_7_Poisson_Equation_and_Schrodinger_Equation

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.
Jupyter Notebook
2
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3

NumericPhysics_1_Sin_Function

It contains a program to calculate sin(x) using Taylor's aproximations.
TeX
1
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4

Numerical_Physics_4_RandomWalk

It includes a program that plots a random walk in 2D using Numpy and Matplotlib.
Jupyter Notebook
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5

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
1
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6

NumericPhysics_2_Spherical_Bessel_Functions

It contains a program that calculates the spherical bessel functions of first type
Jupyter Notebook
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7

Numerical_Physics_5_Heat_Equation_and_String_Vibration

It has a program that solves the heat equation in one dimension and plots the solution in a 3D-graph (Nympy, Matplotlib, Mpl_toolkits). It also contains another program that simulates a string vibrating with animation.
TeX
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8

NumericPhysics_3_RandomNumbers-MonteCarlo

It includes a program that generates pseudorandom numbers and another that solves integrals and approximates pi using Monte Carlo.
Jupyter Notebook
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