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ev_samples_olrsc.m
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ev_samples_olrsc.m
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clear;
config = ev_samples_config();
method = 'olrsc';
all_d = config.d;
all_rho = config.rho;
all_rep = config.repetitions;
p = config.p;
n = config.n;
K = config.K;
lambda1 = 1;
lambda2 = 1/sqrt(p);
lambda3_base = 1/sqrt(p);
%% add path
addpath('OLRSC/');
%% compute EV for OLRSC
for k=1:length(all_rep)
rep = all_rep(k);
for j=1:length(all_d)
d = all_d(j);
for rhoidx=1:length(all_rho)
rho = all_rho(rhoidx);
fprintf('OLRSC: rep = %d, d = %d, rho = %.2f\n', rep, d, rho);
result_file = sprintf(config.result_file_format, method, method, d, rho, rep);
data_file = sprintf(config.data_file_format, d, rho, rep);
load(data_file);
U_all = cell2mat(U);
UUt = U_all * U_all';
traceUUt = trace(UUt);
D = randn(p, d);
M = zeros(p, d);
A = zeros(d, d);
B = zeros(p, d);
EV = zeros(1, n);
T = 0;
for t=1:n
if mod(t, 1000) == 0
fprintf('OLRSC access sample %d, EV = %g\n', t, EV(t-1));
end
tic;
z = Z(:, t);
lambda3 = sqrt(t) * lambda3_base;
[v, e] = OLRR_solve_ve(z, D, lambda1, lambda2);
normz = norm(z);
u = (D - M)' * z / (normz * normz + 1/lambda3);
M = M + z * u';
A = A + v * v';
B = B + (z-e) * v';
D = OLRR_solve_D(D, M, A, B, lambda1, lambda3);
T = T + toc;
EV(t) = js_compute_EV(D, UUt, traceUUt);
end
save(result_file, 'EV', 'T');
fprintf('save to %s\n', result_file);
end
end
end