📄 pinit.m
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function [T,x_0] = pinit(W,A,b) %PINIT Utility init.-procedure for "preconditioned" iterative methods. % % T = pinit(W,A) % [T,x_0] = pinit(W,A,b) % % Initialization for `preconditioning' of general-form problems. % Here, W holds a basis for the null space of L. % % Determines the matrix T needed in the iterative routines for % treating regularization problems in general form. % % If b is also specified then x_0, the component of the solution in % the null space of L, is also computed. % Reference: P. C. Hansen, "Rank-Deficient and Discrete Ill-Posed Problems. % Numerical Aspects of Linear Inversion", SIAM, Philadelphia, 1997. % Per Christian Hansen, IMM, 07/29/97. % Initialization. [n,nu] = size(W); % Special treatment of square L. if (nu==0), T = []; x_0 = zeros(n,1); return, end % Compute T. S = pinv(A*W); T = S*A; % If required, also compute x_0. if (nargin==3), x_0 = W*(S*b); end
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