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%Question 1
v = 15;
g = -9.81;
height = @(theta) 2.37*tan(theta) + .5*g.*((2.37./(v*cos(theta))).^2); %eq in terms of theta
dh_dtheta = @(theta) 2.37.*(sec(theta).^2) + (g*2.37^2.*(sec(theta).^2).*tan(theta))./(v^2); %derivative of equation
%begin eval four methods
[root1,fx1,ea1,iter1] = bisect(height,0,.1,0.00001,100);
[root2,fx2,ea2,iter2] = falsepos(height,0,.1,0.00001,100);
[root3,ea3,iter3] = newtraph(height,dh_dtheta,.1,0.00001,100);
[root4,ea4,iter4] = mod_secant(height,.0001,.1,0.00001,100);
%Table of answers
t_iter = [ iter1 iter2 iter3 iter4];
ig = { .1 .1 'Na' 'Na' };
ea = [ ea1 ea2 ea3 ea4 ];
%Make Table
T = table;
T.Solver = {'bisect', 'falsepos','newtraph', 'mod_secant'}';
T.Initial_Guess = ig';
T.ea = ea';
T.Iterations = t_iter';
T
%function for plotting
e_b = zeros(length(iter1));
e_f = zeros(length(iter2));
e_n = zeros(length(iter3));
e_m = zeros(length(iter4));
%Creating vectors for error approximation vs iteration
for c = 1:iter1
[r, y, e_b(c), k] = bisect(height,0,.1,0.00001,c);
end
for c = 1:iter2
[r, y, e_f(c), k] = falsepos(height,0,.1,0.00001,c);
end
for c = 1:iter3
[r, e_n(c), k] = newtraph(height,dh_dtheta,.1,0.00001,c);
end
for c = 1:iter4
[r, e_m(c), k] = mod_secant(height,.0001,.1,0.00001,c);
end
%Ploting
setdefaults
plot(1:iter1, e_b, 'g', 1:iter2, e_f, '--', 1:iter3, e_n, 'c:', 1:iter4, e_m, 'o')
title('Approximate Error of Convergent Functions versus Number of Iterations');
xlabel('Iteration');
ylabel('Approx Error');
legend('bisect','falsepos', 'newtraph', 'mod secant');