You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: golden.m
    path of file: ./repos/Image-Harmonization-Dataset-iHarmony4/Lalonde and Efros/utils/3rd_party/@kde/private
    
    the code of the file until where you have to start completion: function [xmin, fmin] = golden(npd, f, ax, bx, cx, tol, varargin)
%
%GOLDEN   Minimize function of one variable using golden section search
%
%   [xmin, fmin] = golden(npd, f, ax, bx, cx, tol) computes a local minimum

    
function [xmin, fmin] = golden(npd, f, ax, bx, cx, tol, varargin)
%
%GOLDEN   Minimize function of one variable using golden section search
%
%   [xmin, fmin] = golden(npd, f, ax, bx, cx, tol) computes a local minimum
%   of f. xmin is the computed local minimizer of f and fmin is
%   f(xmin). xmin is computed to an relative accuracy of TOL.
%
%   The parameters ax, bx and cx must satisfy the following conditions:
%   ax < bx < cx, f(bx) < f(ax) and f(bx) < f(cx).
%
%   xmin satisfies ax < xmin < cx. golden is guaranteed to succeed if f
%   is continuous between ax and cx
%
%   Roman Geus, ETH Zuerich, 9.12.97
%
%   ATI -- added "npd" argument & made private to KDE class
C = (3-sqrt(5))/2;
R = 1-C;
 
x0 = ax;
x3 = cx;
if (abs(cx-bx) > abs(bx-ax)),
  x1 = bx;
  x2 = bx + C*(cx-bx);
else
  x2 = bx;
  x1 = bx - C*(bx-ax);
end