text: function varargout = covMaterniso(d,varargin)
  
  % Wrapper for Matern covariance function covMatern.m.
  %
  % Matern covariance function with nu = d/2 and isotropic distance measure. For
  % d=1 the function is also known as the exponential covariance function or the 
  % Ornstein-Uhlenbeck covariance in 1d. The covariance function is:
  %
  %   k(x,z) = sf^2 * f( sqrt(d)*r ) * exp(-sqrt(d)*r)
  %
  % with f(t)=1 for d=1, f(t)=1+t for d=3 and f(t)=1+t+t^2/3 for d=5.
  % Here r is the distance sqrt((x-z)'*inv(P)*(x-z)), P is ell times
  % the unit matrix and sf2 is the signal variance. The hyperparameters are:
  %
  % hyp = [ log(ell)
  %         log(sf) ]
  %
  % Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2016-04-27.
  %
  % See also COVFUNCTIONS.M.
  
  varargout = cell(max(1,nargout),1);
  [varargout{:}] = covScale({'covMatern','iso',[],d},varargin{:});