nikcleju@14: # -*- coding: utf-8 -*-
nikcleju@14: """
nikcleju@14: Created on Wed Dec 07 14:04:40 2011
nikcleju@14: 
nikcleju@14: @author: ncleju
nikcleju@14: """
nikcleju@14: 
nikcleju@14: import numpy
nikcleju@14: from algos import *
nikcleju@14: 
nikcleju@15: paramstest = dict()
nikcleju@15: paramstest['algos'] = exact_gap,exact_sl0,exact_bp,exact_ompeps,exact_tst       # tuple of algorithms
nikcleju@15: #paramstest['algos'] = exact_bp_cvxopt,       # tuple of algorithms
nikcleju@15: paramstest['d'] = 50.0
nikcleju@15: paramstest['sigma'] = 1.2
nikcleju@15: paramstest['deltas'] = numpy.array([0.05, 0.45, 0.95])
nikcleju@15: paramstest['rhos'] = numpy.array([0.05, 0.45, 0.95])
nikcleju@15: #deltas = numpy.array([0.6])
nikcleju@15: #deltas = numpy.arange(0.05,1.,0.05)
nikcleju@15: #rhos = numpy.array([0.05])
nikcleju@15: paramstest['numvects'] = 10; # Number of vectors to generate
nikcleju@15: paramstest['SNRdb'] = 100.;    # This is norm(signal)/norm(noise), so power, not energy
nikcleju@15: paramstest['savedataname'] = 'exact_pt_stdtest.mat'
nikcleju@15: paramstest['saveplotbase'] = 'exact_pt_stdtest_'
nikcleju@15: paramstest['saveplotexts'] = ('png','pdf','eps')
nikcleju@14: 
nikcleju@14: # Standard parameters 1
nikcleju@14: # All algorithms, 100 vectors
nikcleju@14: # d=50, sigma = 2, delta and rho full resolution (0.05 step), lambdas = 0, 1e-4, 1e-2, 1, 100, 10000
nikcleju@14: # Do save data, do save plots, don't show plots
nikcleju@15: params1 = dict()
nikcleju@15: params1['algos'] = exact_gap,exact_sl0,exact_bp_cvxopt,exact_ompeps,exact_tst       # tuple of algorithms
nikcleju@15: params1['d'] = 50.0;
nikcleju@15: params1['sigma'] = 1.2
nikcleju@15: params1['deltas'] = numpy.arange(0.05,1.,0.05)
nikcleju@15: params1['rhos'] = numpy.arange(0.05,1.,0.05)
nikcleju@15: params1['numvects'] = 100; # Number of vectors to generate
nikcleju@15: params1['SNRdb'] = 100.;    # This is norm(signal)/norm(noise), so power, not energy
nikcleju@15: params1['savedataname'] = 'exact_pt_std1.mat'
nikcleju@15: params1['saveplotbase'] = 'exact_pt_std1_'
nikcleju@15: params1['saveplotexts'] = ('png','pdf','eps')
nikcleju@14: 
nikcleju@15:         
nikcleju@14: # Standard parameters 2
nikcleju@14: # All algorithms, 100 vectors
nikcleju@14: # d=20, sigma = 10, delta and rho full resolution (0.05 step), lambdas = 0, 1e-4, 1e-2, 1, 100, 10000
nikcleju@14: # Do save data, do save plots, don't show plots
nikcleju@15: params2 = dict()
nikcleju@15: params2['algos'] = exact_gap,exact_sl0,exact_bp_cvxopt,exact_ompeps,exact_tst       # tuple of algorithms
nikcleju@15: params2['d'] = 20.0
nikcleju@15: params2['sigma'] = 10.0
nikcleju@15: params2['deltas'] = numpy.arange(0.05,1.,0.05)
nikcleju@15: params2['rhos'] = numpy.arange(0.05,1.,0.05)
nikcleju@15: params2['numvects'] = 100; # Number of vectors to generate
nikcleju@15: params2['SNRdb'] = 100.;    # This is norm(signal)/norm(noise), so power, not energy
nikcleju@15: params2['savedataname'] = 'exact_pt_std2.mat'
nikcleju@15: params2['saveplotbase'] = 'exact_pt_std2_'
nikcleju@15: params2['saveplotexts'] = ('png','pdf','eps')