lcfun.m

求解离散病态问题的正则化方法matlab 工具箱

function g = lcfun(lambda,s,beta,xi,dsvd);

% Auxiliary routine for l_corner; computes the NEGATIVE of the curvature.
% Note: lambda may be a vector.  PCH, IMM, 12/29/97.

% Initialization.
phi = zeros(size(lambda)); dphi = phi; psi = phi; dpsi = phi;
eta = phi; rho = phi;

% Compute some intermediate quantities.
for i = 1:length(lambda)
  if (nargin==4)
    f  = (s.^2)./(s.^2 + lambda(i)^2);
  else
    f  = s./(s + lambda(i));
  end
  cf = 1 - f;
  eta(i) = norm(f.*xi);
  rho(i) = norm(cf.*beta);
  f1 = -2*f.*cf/lambda(i);
  f2 = -f1.*(3-4*f)/lambda(i);
  phi(i)  = sum(f.*f1.*xi.^2);
  psi(i)  = sum(cf.*f1.*beta.^2);
  dphi(i) = sum((f1.^2 + f.*f2).*xi.^2);
  dpsi(i) = sum((-f1.^2 + cf.*f2).*beta.^2);
end

% Now compute the first and second derivatives of eta and rho
% with respect to lambda;
deta  =  phi./eta;
drho  = -psi./rho;
ddeta =  dphi./eta - deta.*(deta./eta);
ddrho = -dpsi./rho - drho.*(drho./rho);

% Convert to derivatives of log(eta) and log(rho).
dlogeta  = deta./eta;
dlogrho  = drho./rho;
ddlogeta = ddeta./eta - (dlogeta).^2;
ddlogrho = ddrho./rho - (dlogrho).^2;

% Let g = curvature.
g = - (dlogrho.*ddlogeta - ddlogrho.*dlogeta)./...
      (dlogrho.^2 + dlogeta.^2).^(1.5);