Use the following code to answer question 4

The following MATLAB function spl3.m finds a natural cubic spline that interpolates a table of values. INPUTS are a table of function values x and y, the number of intermediate points m at which S(x) is to be approximated function function spl3(x y,m) % Cubic spline n length(x) for i= 1:n-1 end for i-3:n-1 u(i)-2*(h(i1)+h))-h(i-1)A2u(i-1); end Z(n)-0 for in-1-12 end disp( disp disp( disp( for i-1:n-1 cubic spline) for j=1 :m+ 1 tax(i)+(j. 1 )"r; dis-G-1) r q:0.5"z(i)-dis*(z(i+1 )-z(i))(6"hh); spl3-y()+dis q fprintf(% 12.51561 7.5f n'.tspl3) end end fprintf(%1 2.51561 7.5f in',x(n),y(n)) fprintf(n)