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must be done in MATLAB 2. Create a main program that calls the subroutine created on problem 1 and compare resu...
2. Create a main program that calls the subroutine created on problem 1 and compare results using the following data sets: b. 1 5), (0, 8), (3,-10) С. (-10,-2), (45), (73), (12, 20) t: (copy and paste the output in the following box) Use MATLAB or Scilab to solve the following problems 1. Create a MATLAB subroutine called Lagrange.m that receives two set data points, x and y and plots the curve by interpolating the missing points (hEX-Xi-1) using Lagrange...
Use MATLAB or Scilab to solve the following problems 1. Create a MATLAB subroutine called Lagrange.m that receives two set data points, x and y and plots the curve by interpolating the missing points (h-X-x-1) using Lagrange interpolation form 2. Create a main program that calls the subroutine created on problem 1 and compare results using the following data sets: b. (1 5), (0, 8), (3,-10) C. (-10.2), ( 4,5), (7, 3), (12, 20)
in put and output done in computer please Use MATLAB or Scilab to solve the following problems 1. Create a MATLAB subroutine called Lagrange.m that receives two set data points, x and y and plots the curve by interpolating the missing points (h=x-X.1) using Lagrange interpolation form.
USE MATLAB 3. Use MATLAB or Scilab to implement cubic spline, and plot the points and the curve for the following data sets. x-[018 12 27) and y=[12345) Input: (copy and paste the MATLAB or Sclla command in the following box) Output: (copy and paste the output in the following box)
Problem 2. Given the data points (xi. yi), with xi 2 02 4 yil 5 1 1.25 find the following interpolating polynomials, and use MATLAB to graph both the interpolating polynomials and the data points: a) The piecewise linear Lagrange interpolating polynomialx) b) The piecewise quadratic Lagrange interpolating polynomial q(x) c) Newton's divided difference interpolation pa(x) of degree s 4 Problem 2. Given the data points (xi. yi), with xi 2 02 4 yil 5 1 1.25 find the following...
IN MATLAB Write a MATLAB function that can be used by a user to perform polynomial interpolation using Lagrange Interpolation Method on a set of data. You should name your function as YourInitials_Lagrange_interpolation. 1. FUNCTION INPUT: . The input data pairs x and f(x) should be expressed as vectors and are used to construct the interpolation polynomials The interpolating data points/value The order of interpolating polynomials to be used. For this project you code should handle first order, second order...
specify Output, please. 6. Create a MATLAB script to integrate the given function using the numerical scheme called Trapezoid's Rule. a. f(x)- xe* +3x1+2x-1 and find for with h 0.1, 0.01 and 0.001 Input: (copy and paste the MATLAB or Scilab command in the following box)
i got it incomplete sorry I put this by mistake. can this be canceled? 4. Use MATLAB or Scilab to implement linear regression, and plot the points and the curve for the following data sets. x [018 12 27) and y [12345 Input: (copy and paste the MATLAB or Sclab commandin the folowing bax) cic X1-101 8 12 271: Y1-11 234 5] Y-transpose(Y1) for n-1:5 X(n,2)-X1(n) end format long ycalc-S(2) X+S(1); scatter(X1,Y1) hold on plot(X,ycalc) xlabel(X) ylabel(Y) title('Linear Regression Relation...
5. Create a MATLAB script to find the first and second derivative of given function using Forward, Backward, central and Taylor numerical schemes. Test your code using the following functions: f(x)-xe*+3x2 +2x -1 and find f (3) and f' (3) for with h 0.1, 0.01 and 0.001 b. Approximate y'(1) and y"(1) using the following table f(x) 0.992 0.8 0.9 0.999 1.0 1.001 1.008 Input: (copy and paste the MATLAB or Scilab script in the following box) 5. Create a...
matlab The error function is a mathematical function that frequently arises in probability and statistics. It also can show up in the solution to some partial differential equations, particularly those arising in heat and mass transfer applications. The error function is defined as 2 e-t dt picture attached This function is actually built-in to MATLAB as the command erf, and here we'll use that function to compute a "true value" with which we can compare results of two interpolation approaches....