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#include #include void main(void) { double pi = 3.14159265; printf("Tangent of pi is %f\n", tan(pi)); printf("Tangent of pi/4 is %f\n", tan(pi / 4.0)); }

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagon

function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) % CPD_TO_PI Compute pi vector (noisyor) % pi = CPD_to_pi(CPD, msg_type, n, ps, msg) % Pearl p188 eqn 4.57 switch msg_type case 'd

function pi = sum_prod_CPD_and_pi_msgs(CPD, n, ps, msg, except) % SUM_PROD_CPD_AND_PI_MSGS Compute pi = sum_{u\p} P(n|u) prod_{ui in ps\p} pi_msg(ui->n) % pi = sum_prod_CPD_and_pi_msgs(CPD, n, ps, m

function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) % CPD_TO_PI Compute the pi vector (gaussian) % function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) switch msg_type case 'd'

function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) % CPD_TO_PI Compute the pi vector (gaussian) % function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) switch msg_type case 'd'

function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) % COMPUTE_PI Compute pi vector (discrete) % pi = compute_pi(CPD, msg_type, n, ps, msg, evidence) % Pearl p183 eq 4.51 switch msg_typ

function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) % CPD_TO_PI Compute the pi vector (root) % function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence) self_ev = evidence{n}; switch

function bel = compute_bel(msg_type, pi, lambda) switch msg_type, case 'd', bel = normalise(pi .* lambda); case 'g', if isinf(lambda.precision) % ignore pi because lambda is completely certa

function [val] = gaDemo1Eval1(sol,options) x=sol(1); val = x*sin(10*%pi*x) + 2.0;