MATLAB

function Dnum = RichardsonDiff(f,x0,h,max1)

% Differentiation algorithm based on Richardson extrapolation

% f - string input for function y = f(x)

% x0 - value, where the derivative f'(x0) is to be found

% h - minimal step size, all other values are computed for the step sizes 2^(k-1) h

% max1 - maximal number of Richardson iterations

% Dnum - row-vector of numerical (central) derivatives:

% the entry with index k in Dnum corresponds to the derivative of order O(h^(2k))

D = ones(max1,max1); % the matrix for Richardson derivatives

for k = 1 : max1

x = x0 + 2^(k-1)*h;

f1 = feval(f);

x = x0 - 2^(k-1)*h;

f2 = feval(f);

D(k,1) = (f1-f2)/(2^k*h); % first approximation for the central difference

end

for k = 2 : max1 % compute k-th order central differences

for kk = 1 : (max1-k+1) % the matrix of Richardson derivatives is triangular!

D(kk,k) = D(kk,k-1)+(D(kk,k-1) - D(kk+1,k-1))/(4^(k-1)-1); % see the Richardson algorithm

end

end

% define the vector Dnum for numerical difference approximations

Dnum = D(1,:);

Use the following code to compute the derivative of sin(xA2+(1/3)x) at x- 0 Use h= 10-2, and perform extrapolation up to the tenthrder. Show the intermediate values D(m, n) in a table. Use the following code to compute the derivative of sin(xA2+(1/3)x) at x- 0 Use h= 10-2, and perform extrapolation up to the tenthrder. Show the intermediate values D(m, n) in a table