function res = deterministic_vs_prob
	rand('seed',42);
	

	n = 10;
	x0 = rand(n,1);
	A = generate_connected(10);
	A = graph_circular(10);
	x0 = ((1:10)' / 10) + 0.2*rand(n,1);

	
%	epsilons = [0.2 0.1 0.05 0.025 0.0125 0.0064]
	
	epsilons = 0.02;
	
%	colors = {'r','g','b','k','m'};

	for i=1:numel(epsilons)
		epsilon=epsilons(i);


		for strategy=[6 1 2 3 5]
		 	res{i,strategy} = cons00(A, x0, epsilon, strategy, 2000);
		end

%			p = plot(log_or_small(rprob.mse, -30), '.');


%		set(p, 'color', colors{mod(i, numel(colors))+1});
%		set(p, 'markersize', 2);
		
%		pause(0.1)
		
%		res{i,5} = rdet;
%		res{i,2} = rprob;
	end


%	for i=1:numel(epsilons)
%		legends{i} = sprintf('\\epsilon = %f',epsilons(i));
%	end
%	legend(legends);


function r = log_or_small(k, min)
	for i=1:numel(k)
		r(i) = log(max(k(i),exp(min)));
	end