In Matlab,
Construct the natural cubic spline (see the LiveScript) to interpolate the Runge function (see Homework 6) using 10, 15, 20, and 25 equispaced nodes.
MATLAB Code:
close all
clear
clc
xx = linspace(-1, 1, 1000);
yy = 1 ./ (1 + 25*xx.^2);
figure, hold on
plot(xx, yy), xlabel('x'), ylabel('f(x)')
title('Cubic Spline Interpolation')
N = [10 15 20 25];
for i = 1:length(N)
n = N(i);
x = linspace(-1, 1, n);
f = 1 ./ (1 + 25*x.^2);
yy = spline(x, f, xx);
plot(xx, yy)
end
legend('Actual Function', 'N = 10 nodes', 'N = 15 nodes', 'N = 20
nodes', 'N = 25 nodes')
Plots:

Zoomed versions of the above plot:


In Matlab, Construct the natural cubic spline (see the LiveScript) to interpolate the Runge funct...
Design a MATLAB code to construct a natural cubic spline P(x) that passes though the points (1, 1), (4, 1/4), (7, 1/7), (10, 1/10), (13, 1/13) and (16, 1/16). (a) Use the constructed cubic spline to interpolate x = 3; (b) Find the error e_1 = |1/3 - P(3)|;
Problem 3: Write a MATLAB function called cubic_spline to compute the natural cubic spline for a given data set. The x and y data points and the rdesired values (a vector) should be the inputs, and the corresponding ydesired values (a vector) should be the output.
QUESTION 4 (10) (a) A natural cubic spline that fits the data given by f(3.0) = -5.6790, f(3.1) = -3.6674, f(3.2) = -2.2178 is to be constructed. Write down explicitly the system of equations that need to be used to construct the required natural cubic spline. (b) Consider the nonlinear system (10) 2+y=9, 22 + y2 = 25, 2,y> 0. Perform one iteration of Newton's method to approximate the solution, starting with (2, 4) as the initial solution. [20]
QUESTION 4 (10) (a) A natural cubic spline that fits the data given by f(3.0) = -5.6790, (3.1) = -3.6674, f(3.2) = -2.2178 is to be constructed. Write down explicitly the system of equations that need to be used to construct the required natural cubic spline.
its a numerical analysis question
QUESTION 4 (a) A natural cubic spline that fits the data given by (10) f(3.0) = -5.6790, f(3.1) = -3.6674, f(3.2) = -2.2178 is to be constructed. Write down explicitly the system of equations that need to be used to construct the required natural cubic spline. (b) Consider the nonlinear system (10) z+ y = 9, 1² + y2 = 25, 2, y > 0. Perform one iteration of Newton's method to approximate the solution,...
Natural Cubic spline If the and Derivatives at the endpoints are known, ine. Pi" (x)= Y, 4 and Puni (xu) z Yu" for some numbers y," and ya theni 25, + z = 3y[x, 1x23 - į sxy," (al Sunit zou z 3y [xn-1 , xu] + & Sx uni Yu" (6) 10 Derive equations (a) and (b) for the natural cubic Spline
QUESTION 4 (a) A natural cubic spline that fits the data given by f(3.0) = -5.6790, F (3.1) = -3.6674, f(3.2) = -2.2178 is to be constructed. Write down explicitly the system of equations that need to be used to construct the required natural cubic spline. (b) Consider the nonlinear system x2 + y = 9, 22 + y2 = 25, x, y > 0. Perform one iteration of Newton's method to approximate the solution, starting with (2, 4) as...
Linear Algebra
A natural cubic spline for a function f(x) is defined by ſax° +15x² – 21.75x +14.5 15x521 S(x) = ayx? + 3x² + 2.25x-1.5 25 x 3] Find the value of a1.
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10-16 DETERMINATION OF SPLINES Find the cubic spline g(x) for the given data with ko and kn as given. using MATLAB. 15. fo f(O)4, fi = f(2) 0, f3f(6) 80, ko= k3 = 0 f2 f(4) 4
Consider polynomial interpolation of the function f(x)=1/(1+25x^2) on the interval [-1,1] by (1) an interpolating polynomial determined by m equidistant interpolation points, (2) an interpolating polynomial determined by interpolation at the m zeros of the Chebyshev polynomial T_m(x), and (3) by interpolating by cubic splines instead of by a polynomial. Estimate the approximation error by evaluation max_i |f(z_i)-p(z_i)| for many points z_i on [-1,1]. For instance, you could use 10m points z_i. The cubic spline interpolant can be determined in...