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solver_sBP.m
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solver_sBP.m
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function varargout = solver_sBP( A, b, mu, x0, z0, opts, varargin )
% SOLVER_SBP Basis pursuit (l1-norm with equality constraints). Uses smoothing.
% [ x, out, opts ] = solver_sBP( A, b, mu, x0, z0, opts )
% Solves the smoothed basis pursuit problem
% minimize norm(x,1) + 0.5*mu*(x-x0).^2
% s.t. A * x == b
% by constructing and solving the composite dual
% maximize - g_sm(z)
% where
% g_sm(z) = sup_x <z,Ax-b>-norm(x,1)-(1/2)*mu*norm(x-x0)
% A must be a linear operator or matrix, and b must be a vector. The
% initial point x0 and the options structure opts are optional.
%
% If "nonneg" is a field in "opts" and opts.nonneg is true,
% then the constraints are A * x == b AND x >= 0
% Supply default values
error(nargchk(3,7,nargin));
if nargin < 4, x0 = []; end
if nargin < 5, z0 = []; end
if nargin < 6, opts = []; end
if ~isfield( opts, 'restart' ), opts.restart = 400; end
% -- legacy options from original software --
if isfield(opts,'lambda0')
opts = rmfield(opts,'lambda0');
end
if isfield(opts,'xPlug')
opts = rmfield(opts,'xPlug');
end
if isfield(opts,'solver')
svr = opts.solver;
opts = rmfield(opts,'solver');
if isfield(opts,'alg') && ~isempty(opts.alg)
disp('Warning: conflictiong options for the algorithm');
else
% if specified as "solver_AT", truncate:
s = strfind( svr, '_' );
if ~isempty(s), svr = svr(s+1:end); end
opts.alg = svr;
end
end
nonneg = false;
if isfield(opts,'nonneg')
nonneg = opts.nonneg;
opts = rmfield(opts,'nonneg');
end
if isfield(opts,'nonNeg')
nonneg = opts.nonNeg;
opts = rmfield(opts,'nonNeg');
end
if nonneg
% -- case: x >= 0 constraints
prox = prox_l1pos;
else
% -- case: no x >= 0 constraint
prox = prox_l1;
end
[varargout{1:max(nargout,1)}] = ...
tfocs_SCD( prox, { A, -b }, proj_Rn, mu, x0, z0, opts, varargin{:} );
% TFOCS v1.3 by Stephen Becker, Emmanuel Candes, and Michael Grant.
% Copyright 2013 California Institute of Technology and CVX Research.
% See the file LICENSE for full license information.