Question: import numpy as np import matplotlib.pyplot as plt # Parameters N _ x = 2 0 0 # Number of spatial cells N _ time

import numpy as np import matplotlib.pyplot as plt # Parameters N_x =200 # Number of spatial cells N_time =300 # Number of time steps E_y = np.zeros(N_x) # Electric field H_z = np.zeros(N_x) # Magnetic field t_zero =40.0 # Center of pulse width =12.0 # Pulse width # Time-stepping loop for time in range(1, N_time): # Inject Gaussian pulse at i=100 pulse = np.exp(-0.5*((t_zero - time)/ width)**2) E_y[100]= pulse # Update E_y for i in range(1, N_x): E_y[i]= E_y[i]-0.5*(H_z[i]- H_z[i-1]) # Update H_z for i in range(N_x -1): H_z[i]= H_z[i]-0.5*(E_y[i+1]- E_y[i]) # Plot E_y and H_z at specific times if time %50==0: plt.plot(E_y, label=f'Time {time}') plt.legend() plt.show() convert this python code into MATLAB code.

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