PLEASE REFER BELOW CODE
close all
clear all
clc
%a)
%given data
x = [0 2 4 5 6 7 10];
r = [2 1.35 1.34 1.6 1.58 1.42 2];
%trapezoidal rule
a = 0;
b = 10;
h = (b-a)/length(x);
l=length(x);
I = (h/3)*((r(1)+r(l))+2*(r(3)+r(5))+4*(r(2)+r(4)+r(6)))
%b)
I1 = trapz(x,r)
%c)
I2 = trapuneq(x,r)
PLEASE REFER BELOW OUTPUT
I =
13.0095
I1 =
15.7300
I2 =
15.7300
>>
Solve by using (a) the most accurate combination of Trapezoidal and Simpson’s rules. (b) the MATLAB...
please solve this problem by Midpoind, trapezoidal and
simpson’s rule
maybe here beccause it is one question an i have to answer them in
order see i add the full paper to you and please solve them
3. How large do we have to choose n so that the approximations Th. Mn and Sn in problem I accurate to within 0.005? a. Midpoint Rule b. Trapezoidal Rule c. Simpson's Rule 1. Use the Midpoint Rule, Trapezoidal Rule, and Simpson's Rule...
Produce following function in MATLAB
eeeceved. 3) calculatelmpulse: consumes a series (represented by a column-vector of floats)- and computes the integral-of the series using trapezoidal numeric integration. The integral of these values is the impulse. See MATLAB documentation for the trapz-function.1 1 Trapezoidal rule is a technique used for approximating an integral. It uses the area ofa-series of trapezoids that fit under the curve to approximate the area.
eeeceved. 3) calculatelmpulse: consumes a series (represented by a column-vector of floats)-...
please help me
Integrate this using the composite trapezoidal rule. Differentiate the data of using the forward difference formula. MATLAB Integrate the data of using MATAB's built-in function trapz. Differential the data of (1) using MATAB's built-in function diff.
solve using matlab
Problem # 3: P-3 Calculate the following equation: a- Use the trapezoidal method b- Use built-in Lobatto adaptive method c- Use four points Gauss quadrature Calculate the absolute relative errors for the trapezoidal and Gauss quadrature, using the Lobatto as reference.
Write a MATLAB function/script that performs the following tasks. Approximate: 2+2 (a) Using the composite Trapezoidal rule with n=8 (b) Using the composite Simpson's rule with n = 8 (c) Display the final solution for each method along with the exact solution. Name your file: WS5_LastName_First Inital()
Using Matlab: Accelerometers are widely used in aircraft, rockets, and other vehicles to estimate the vehicle’s velocity and displacement. The accelerometer integrates the acceleration signal to produce an estimate of the velocity, and then it integrates the velocity estimate to produce an estimate of displacement. Suppose the vehicle starts from rest at time ? = 0, and its measured acceleration is given in the following table. Time (s) 0 1 2 3 4 5 6 7 8 9 10 Acceleration...
(a) (4 points) Fill in the blanks in the following MATLAB function M file trap so that it implements the composilu trapezidul rulo, using a soquence of w -1,2, 4, 8, 16,... trapezoids, to approximatel d . This M file uses the MATLAB built-in function trapz. If 401) and y=() f(!)..... fr. 1)). 3= ($1, then the execution of z = trapz(x, y) approximates using the composite trapezoidal rule (with trapezoids). (Note that the entries of are labeled starting at...
2 Problem 3 (25 points) Let I = ïrdz. a) [by hand] Use a composite trapezoidal rule to evaluate 1 using N = 3 subintervals. b) MATLAB] Use a composite trapezoidal rule to evaluate I using N - 6 subinterval:s c) by hand] Use Romberg extrapolation to combine your results from a) and b) and obtain an improved approximation (you may want to compare with a numerical approximation of the exact value of the integral
2 Problem 3 (25 points)...
MATLAB
Write an m-file capable of performing numerical integration for
the equation
using the simpsons and trapezoidal functions:
function [value, error] = simpsons(func, a, b, n, I) %retuns
the value and error
ret = 0;
h = (b-a)/(n+1); %step size
pts = a:h:b; % array of points
for i=2:(n+3)/2
a = 2*i-3;
b = 2*i-2;
c = 2*i-1;
ret = ret + (func(pts(a)) + 4*func(pts(b)) +
func(pts(c)));
end
value = h*ret/3;
error = abs(I - value)*100/I; %error between value and...
USE MATLAB ONLY NEED MATLAB CODE
MATLAB
21.4 Integrate the following function analytically and using the trapezoidal rule, with - 1,2,3, and 4: 0 (x + 2/x dx 0 Use the analytical solution to compute true percent relative crrors to evaluate the accuracy of the trapezoidal approximations. 0