diff examples/ALPS solvers tests/SMALL_solver_test_ALPS.m @ 154:0de08f68256b ivand_dev

ALPS toolbox - Algebraic Pursuit added to smallbox

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/examples/ALPS solvers tests/SMALL_solver_test_ALPS.m	Fri Aug 12 11:17:47 2011 +0100
@@ -0,0 +1,163 @@
+%%  Example test of solvers from different toolboxes on Sparco problem 6
+%
+%   The main purpose of this example is to show how to use SMALL structure
+%   to solve SPARCO compressed sensing problems (1-11) and compare results
+%   from different solvers.
+%   To generate SMALL.Problem part of structure you can use generateProblem
+%   function from Sparco toolbox giving the problem number and any
+%   additional parameters you might want to change. Alternatively, you can
+%   might want to consult sparco documentation to write a problem by
+%   yourself. There are four fields the must be specified in SMALL.Problem 
+%   - A, b, sizeA and reconstruct.
+%   
+%   To generate SMALL.solver part of the structure you must specify three
+%   fields:
+%   
+%       SMALL.solver.toolbox - string with toolbox name is needed because
+%                              different toolboxes are calling solver 
+%                              functions in different ways.
+%       SMALL.solver.name - its string representing solver name (e.g.
+%                           SolveOMP)
+%       SMALL.solver.param - string that contains optional parameters for
+%                            particular solver (all parameters you want to
+%                            specify except A, b and size of solution)
+%                            
+%   Every call to SMALL_solve function will generate following output:
+%
+%       SMALL.solver.solution - contains solution vector x
+%       SMALL.solver.reconstructed - vector containing signal reconstructed
+%                                    from the solution
+%       SMALL.solver.time - time that solver spent to find the solution
+%           
+%   SMALL_plot function plots the SMALL.solver.solution and reconstructed
+%   against original signal.
+%   
+%   In this particular example we are testing SMALL_cgp, SMALL_chol, 
+%   SolveOMP form SparseLab and greed_pcgp form Sparsify against "PROB006  
+%   Daubechies basis, Gaussian ensemble measurement basis, piecewise cubic 
+%   polynomial signal" from Sparco. 
+%   
+%
+
+
+%   Centre for Digital Music, Queen Mary, University of London.
+%   This file copyright 2009 Ivan Damnjanovic.
+%
+%   This program is free software; you can redistribute it and/or
+%   modify it under the terms of the GNU General Public License as
+%   published by the Free Software Foundation; either version 2 of the
+%   License, or (at your option) any later version.  See the file
+%   COPYING included with this distribution for more information.
+%%   
+
+fprintf('\n\nExample test of SMALL solvers against their counterparts on Sparco problems.\n\n');
+
+%%
+% Generate SPARCO problem 
+clear  
+
+SMALL.Problem = generateProblem(6, 'P', 6, 'm', 2*500,'n',2*1024, 'show');
+
+SMALL.Problem.A = opToMatrix(SMALL.Problem.A, 1);
+
+%%
+i=1;
+%%
+% ALPS test
+SMALL.solver(i) = SMALL_init_solver;
+SMALL.solver(i).toolbox = 'ALPS';
+SMALL.solver(i).name = 'AlgebraicPursuit';
+
+% In the following string all parameters except matrix, measurement vector
+% and size of solution need to be specified. If you are not sure which
+% parameters are needed for particular solver type "help <Solver name>" in
+% MATLAB command line
+
+SMALL.solver(i).param=struct(...
+    'sparsity', 125,... 
+    'memory', 0,...
+    'mode', 1,...
+    'iternum', 50,... 
+    'tolerance', 1e-14');
+
+SMALL.solver(i)=SMALL_solve(SMALL.Problem,SMALL.solver(i));
+
+
+i=i+1;
+%%
+% SMALL Conjugate Gradient test 
+SMALL.solver(i)=SMALL_init_solver;
+SMALL.solver(i).toolbox='SMALL';    
+SMALL.solver(i).name='SMALL_cgp';
+
+% In the following string all parameters except matrix, measurement vector
+% and size of solution need to be specified. If you are not sure which
+% parameters are needed for particular solver type "help <Solver name>" in
+% MATLAB command line
+
+SMALL.solver(i).param='200, 1e-14';
+
+SMALL.solver(i)=SMALL_solve(SMALL.Problem,SMALL.solver(i));
+
+
+i=i+1;
+
+%%
+% SolveOMP from SparseLab test 
+
+SMALL.solver(i)=SMALL_init_solver;
+SMALL.solver(i).toolbox='SparseLab';  
+SMALL.solver(i).name='SolveOMP';
+
+% In the following string all parameters except matrix, measurement vector
+% and size of solution need to be specified. If you are not sure which
+% parameters are needed for particular solver type "help <Solver name>" in
+% MATLAB command line
+
+SMALL.solver(i).param='200, 0, 0, 0, 1e-14';
+
+SMALL.solver(i)=SMALL_solve(SMALL.Problem, SMALL.solver(i));
+
+i=i+1;
+  
+%%
+% SMALL OMP with Cholesky update test 
+SMALL.solver(i)=SMALL_init_solver;
+SMALL.solver(i).toolbox='SMALL';    
+SMALL.solver(i).name='SMALL_chol';
+
+% In the following string all parameters except matrix, measurement vector
+% and size of solution need to be specified. If you are not sure which
+% parameters are needed for particular solver type "help <Solver name>" in
+% MATLAB command line
+
+SMALL.solver(i).param='200, 1e-14';
+
+SMALL.solver(i)=SMALL_solve(SMALL.Problem, SMALL.solver(i));
+
+i=i+1;
+
+%%
+% greed_pcgp from Sparsify test 
+
+SMALL.solver(i)=SMALL_init_solver;
+SMALL.solver(i).toolbox='Sparsify';  
+SMALL.solver(i).name='greed_pcgp';
+
+% In the following string all parameters except matrix, measurement vector
+% and size of solution need to be specified. If you are not sure which
+% parameters are needed for particular solver type "help <Solver name>" in
+% MATLAB command line
+
+SMALL.solver(i).param='''stopCrit'', ''M'', ''stopTol'', 200';
+
+SMALL.solver(i)=SMALL_solve(SMALL.Problem, SMALL.solver(i));
+
+%%
+
+SMALL_plot(SMALL);
+  
+
+  
+ 
+