MATLAB Script (Run it as a script, not from command window):
close all
clear
clc
ic = [1; 1; 25]; % Initial Conditions
[T, Y] = ode45(@dYdt, [0 100], ic);
x = Y(:,1); y = Y(:,2); z = Y(:,3);
plot(T,x,T,z), xlabel('t'), ylabel('x(t) & z(t)')
title('Solution of ODE'), legend('x(t)', 'z(t)')
figure, plot(x,z), xlabel('x(t)'), ylabel('z(t)')
title('Trajectory')
function out = dYdt(~, Y)
% Y(1) => x, Y(2) => y, Y(3) = z
out = [-10*Y(1) + 10*Y(2); -Y(1)*Y(3) + 28*Y(1) - Y(2); Y(1)*Y(2) -
8*Y(3)/3];
end
Plots:
(Matlab) Use Matlab's built-in Runge-Kutta function ode45 to solve the problem 1010y -xz +28x - y 3 on the interval t є [0, 100 with initial condition (z(0), y(0),z(0)) = (1,1,25), and plot the t...
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MATLAB HELP 3. Consider the equation y′ = y2 − 3x, where y(0) = 1. USE THE EULER AND RUNGE-KUTTA APPROXIMATION SCRIPTS PROVIDED IN THE PICTURES a. Use a Euler approximation with a step size of 0.25 to approximate y(2). b. Use a Runge-Kutta approximation with a step size of 0.25 to approximate y(2). c. Graph both approximation functions in the same window as a slope field for the differential equation. d. Find a formula for the actual solution (not...
Solve the following initial value problem using ode45 and ode15s: y",(t) _ Зу"(t) + ty(t) _ sin2(t)-7, o s t Plot the solution for varying tolerances. Why do you believe your solution is cor- 2. 1, y(0)-0, y,(0) 1, y"(0)-0. rect? Solve the following initial value problem using ode45 and ode15s: y",(t) _ Зу"(t) + ty(t) _ sin2(t)-7, o s t Plot the solution for varying tolerances. Why do you believe your solution is cor- 2. 1, y(0)-0, y,(0) 1,...
Use fourth-order Runge-Kutta method Using MATLAB Solve x - 2t = 0, (0)0,(0) = 0.1, [0, 3] by any convenient method. Graph the solution on Using MATLAB Solve x - 2t = 0, (0)0,(0) = 0.1, [0, 3] by any convenient method. Graph the solution on
MATLAB help please!!!!! 1. Use the forward Euler method Vi+,-Vi + (ti+1-tinti , yi) for i=0.1, 2, , taking yo-y(to) to be the initial condition, to approximate the solution at 2 of the IVP y'=y-t2 + 1, 0 2, y(0) = 0.5. t Use N 2k, k2,...,20 equispaced timesteps so to 0 and t-1 2) Make a convergence plot computing the error by comparing with the exact solution, y: t (t+1)2 exp(t)/2, and plotting the error as a function of...