(c) and (d)
%% Matlab code %%
clc;
close all;
clear all;
format long;
f=@(t,y)y*(1-y);
y(1)=0.01;
%%%% Exact solution
[t1 y1]=ode45(f,[0 9],y(1));
figure;
plot(t1,y1,'*');
hold on
% Eular therom
M=[32 64 128];
T=9;
fprintf(' M Max error \n' );
for n=1:length(M)
k=T/M(n);
t=0:k:T;
for h=1:length(t)-1
y(h+1)=y(h)+k*f(t(h),y(h));
end
plot(t,y);
hold on
%%% Exact solution
[t y2]=ode45(f,t,y(1));
Mer=max(abs(y2-y'));
fprintf(' %d %f \n',M(n),Mer);
end
legend('Exact solution','M=30','M=64','M=128');
xlabel('t');
ylabel('y(t)');
OUTPUT:
M Max error
32 0.109855
64 0.056016
128 0.028231
(a)Use Euler method to find the difference equation for the following IVP (initial value problem)...
I have all of the answers to this can someone just actually explain this matlab code and the results to me so i can get a better understanding? b) (c) and (d) %% Matlab code %% clc; close all; clear all; format long; f=@(t,y)y*(1-y); y(1)=0.01; %%%% Exact solution [t1 y1]=ode45(f,[0 9],y(1)); figure; plot(t1,y1,'*'); hold on % Eular therom M=[32 64 128]; T=9; fprintf(' M Max error \n' ); for n=1:length(M) k=T/M(n); t=0:k:T; for h=1:length(t)-1 y(h+1)=y(h)+k*f(t(h),y(h)); end plot(t,y); hold on %%%...
Solve using Matlab Use the forward Euler method, Vi+,-Vi+(4+1-tinti ,Vi) for i= 0,1,2, , taking yo y(to) to be the initial condition, to approximate the solution at t-2 of the IVP y'=y-t2 + 1, 0-t-2, y(0) = 0.5. Use N = 2k, k = 1, 2, , 20 equispaced time steps (so to = 0 and tN-1 = 2). Make a convergence plot, computing the error by comparing with the exact solution, y: t1)2 -exp(t)/2, and plotting the error as...
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...
[7] 1. Consider the initial value problem (IVP) y′(t) = −y(t), y(0) = 1 The solution to this IVP is y(t) = e−t [1] i) Implement Euler’s method and generate an approximate solution of this IVP over the interval [0,2], using stepsize h = 0.1. (The Google sheet posted on LEARN is set up to carry out precisely this task.) Report the resulting approximation of the value y(2). [1] ii) Repeat part (ii), but use stepsize h = 0.05. Describe...
Problem 1 Use Euler's method with step size h = 0.5 to approximate the solution of the IVP. 2 dy ev dt t 1-t-2, y(1) = 0. Problem 2 Consider the IVP: dy dt (a) Use Euler's method with step size h0.25 to approximate y(0.5) b) Find the exact solution of the IV P c) Find the maximum error in approximating y(0.5) by y2 (d) Calculate the actual absolute error in approximating y(0.5) by /2. Problem 1 Use Euler's method...
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...
Consider the initial value problem i. Find approximate value of the solution of the initial value problem at using the Euler method with . ii. Obtain a formula for the local truncation error for the Euler method in terms of t and the exact solution . 2,,2 5 0.1 y = o(t) 2,,2 5 0.1 y = o(t)
03. Consider the boundary value problem 0 Sts1 y(0) & y(1)-1 where k > 0 is a given real parameter a. Verify that y(t) = e-kt (14) is the exact solution of the BVP. b. Use the function mybvp() from the previous problem with h -0.1 and k -10, to solve the BVP by the Finite Difference Method. Plot, on the same axes, the numerical and exact solution. c. Using a log-log plot, graph the maximum error as a function...
Runge-Kutta method R-K method is given by the following algorithm. Yo = y(xo) = given. k1-f(xy) k4-f(xi +h,yi + k3) 6 For i = 0, 1, 2, , n, where h = (b-a)/n. Consider the same IVP given in problem 2 and answer the following a) Write a MATLAB script file to find y(2) using h = 0.1 and call the file odeRK 19.m b) Generate the following table now using both ode Euler and odeRK19 only for h -0.01....
a use Euler's method with each of the following step sizes to estimate the value of y 0.4 where y is the solution of the initial value problem y -y, y 0 3 カー0.4 0.4) (i) y10.4) (in) h= 0.1 b we know that the exact solution of the initial value problem n part a s yー3e ra , as accurately as you can the graph of y e r 4 together with the Euler approximations using the step sizes...