obedrios

// Parameters
int N = 500; // Grid size
float lambda = 10; // Wavelength
float k = 2 * PI / lambda; // Wave number
float A = 1; // Amplitude
float speed = 0.1; // Speed of the animation

// Source positions
int[] source1 = {N/4, N/2};
int[] source2 = {3 * N/4, N/2};

obedrios

// Parameters
int N = 500; // Grid size
float lambda = 10; // Wavelength
float k = 2 * PI / lambda; // Wave number
float A = 100; // Amplitude

// Source position
int[] source = {N/2, N/2};

// Grid and wave array

obedrios

float amplitude1 = 100; // Amplitude of the first wave
float amplitude2 = 50; // Amplitude of the second wave
float wavelength1 = 200; // Wavelength of the first wave
float wavelength2 = 400; // Wavelength of the second wave
float frequency1 = 2*PI/wavelength1; // Frequency of the first wave
float frequency2 = 2*PI/wavelength2; // Frequency of the second wave
float phase1 = 0; // Phase of the first wave
float phase2 = 0; // Phase of the second wave

void setup() {

obedrios

/**
 * Abstract:
 * Using the ATMEGA328/Arduino in this post, we will use a naive method to generate normally distributed random numbers. 
 * Our first step was to implement density and cumulative normal distribution functions. After that, in order to obtain 
 * an approximate inverse cumulative density function, a lookup table is used and z-values are obtained using linear interpolation. 
 * Using the Shapiro-Wilki test, we validated the normality of a generated number list.
 */

#include "support.h"
/**