State Prediction

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State Prediction Formulas

Posterior\ Mean \ \ \ \ \ \ \ \large \mu&#x27; = \mu_1 + \mu_2

Posterior\ Variance \ \ \ \ \large \sigma^{2&#x27;} = \sigma^2_1 + \sigma^2_2

Start Quiz:

main.cpp solution.cpp

#include <iostream>
#include <math.h>
#include <tuple>

using namespace std;

double new_mean, new_var;

tuple<double, double> state_prediction(double mean1, double var1, double mean2, double var2)
{
    new_mean = //TODO: Code the state prediction mean function mu;
    new_var =  //TODO: Code the state prediction variance function sigma square;
    return make_tuple(new_mean, new_var);
}

int main()
{

    tie(new_mean, new_var) = state_prediction(10, 4, 12, 4);
    printf("[%f, %f]", new_mean, new_var);
    return 0;
}

#include <iostream>
#include <math.h>
#include <tuple>

using namespace std;

double new_mean, new_var;

tuple<double, double> state_prediction(double mean1, double var1, double mean2, double var2)
{
    new_mean = mean1 + mean2;
    new_var =  var1 + var2;
    return make_tuple(new_mean, new_var);
}

int main()
{

    tie(new_mean, new_var) = state_prediction(10, 4, 12, 4);
    printf("[%f, %f]", new_mean, new_var);
    return 0;
}