The false-position method in Matlab is quite straight-forward. Assume a file f.m with contents
function y = f(x) y = x^3 - 2;
exists. Then:
>> format long
>> eps_abs = 1e-5;
>> eps_step = 1e-5;
>> a = 0.0;
>> b = 2.0;
>> step_size = Inf;
>> while (step_size >= eps_step || ( abs( f(a) ) >= eps_abs && abs( f(b) ) >= eps_abs ) )
c = (f(a)*b - f(b)*a)/(f(a) - f(b));
if ( f(c) == 0 )
break;
elseif ( f(a)*f(c) < 0 )
step_size = b - c;
b = c;
else
step_size = c - a;
a = c;
end
end
>> [a b]
ans = 1.259915864579067 2
>> abs(f(a))
ans = 0.0000246934256663
>> abs(f(b))
ans = 6
Thus, we would choose 1.259915864579067 as our approximation to the cube-root of 2, which has an actual value (to 16 digits) of 1.259921049894873.
An implementation of a function would be
function [ r ] = false_position( f, a, b, N, eps_step, eps_abs )
% Check that that neither end-point is a root
% and if f(a) and f(b) have the same sign, throw an exception.
if ( f(a) == 0 )
r = a;
return;
elseif ( f(b) == 0 )
r = b;
return;
elseif ( f(a) * f(b) > 0 )
error( 'f(a) and f(b) do not have opposite signs' );
end
% We will iterate N times and if a root was not
% found after N iterations, an exception will be thrown.
c_old = Inf;
for k = 1:N
% Find the false position
c = (a*f(b) + b*f(a))/(f(b) - f(a));
% Check if we found a root or whether or not
% we should continue with:
% [a, c] if f(a) and f(c) have opposite signs, or
% [c, b] if f(c) and f(b) have opposite signs.
if ( f(c) == 0 )
r = c;
return;
elseif ( f(c)*f(a) < 0 )
b = c;
else
a = c;
end
% If |b - a| < eps_step, check whether or not
% |f(a)| < |f(b)| and |f(a)| < eps_abs and return 'a', or
% |f(b)| < eps_abs and return 'b'.
if ( abs( c - c_old ) < eps_step )
if ( abs( f(a) ) < abs( f(b) ) && abs( f(a) ) < eps_abs )
r = a;
return;
elseif ( abs( f(b) ) < eps_abs )
r = b;
return;
end
end
c_old = c;
end
error( 'the method did not converge' );
end
Copyright ©2005 by Douglas Wilhelm Harder. All rights reserved.


