function test_robust_1

yalmip('clear')
sdpvar x w;
F = set(x + w < 1) + set(-0.5 < w < 0.5)
sol = solverobust(F,-x,[],w);

mbg_asserttolequal(double(x), 1/2, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

F = set(abs(x) + w < 1) + set(-0.5 < w < 0.5)
sol = solverobust(F,-x,[],w);
mbg_asserttolequal(double(x), 1/2, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

F = set(abs(x) + w < 1) + set(-2 < w < 2)
sol = solverobust(F,-x,[],w);
mbg_asserttolequal(double((sol.problem == 1) | (sol.problem == 12)), 1, 1e-5);

F = set(abs(x) + w < 1) + set(norm(w,1) < 0.3);
sol = solverobust(F,-x,[],w);
mbg_asserttolequal(double(x), 0.7, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

F = set(abs(x) + w < 1) + set(norm(w,2) < 0.3);
sol = solverobust(F,-x,[],w);
mbg_asserttolequal(double(x), 0.7, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

x = sdpvar(3,1);
w = sdpvar(2,1);
F = set(norm(x,1) + sum(w) < 1) + set(norm(w,1) < 0.3);
sol = solverobust(F,-sum(x),[],w);
mbg_asserttolequal(double(sum(x)), 0.7, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

x = sdpvar(3,1);
w = sdpvar(2,1);
F = set(norm(x,1) + sum(w) < 1) + set(norm(w,1) < 0.3) + set(uncertain(w))
sol = solvesdp(F,-sum(x));
mbg_asserttolequal(double(sum(x)), 0.7, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

x = sdpvar(3,1);
w = sdpvar(2,1);
F = set(norm(x,1) + sum(w) < 1) + set(w'*w < 0.3^2);
sol = solverobust(F,-sum(x),[],w);
mbg_asserttolequal(double(sum(x)), 0.57574, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

% multiple nonlinear operators in uncertainty descr.
F = set(norm(x,1) + sum(w) < 1) + set(norm(w,1) < 0.3) + set(norm(w,inf) < 0.1);
sol = solverobust(F,-sum(x),[],w);
mbg_asserttolequal(double(sum(x)), 0.8, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

% Mixed nonlinear operator
sdpvar x w
sol = solverobust(set(norm(x+w,1)  < 1) + set(norm(w,2) < 0.2),-sum(x),[],w)
mbg_asserttolequal(double(sum(x)), 0.8, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

% Mixed nonlinear operator, only part of w in constraints
sdpvar x w(5,1)
sol = solverobust(set(norm(x+w(1),1)  < 1) + set(norm(w,2) < 0.2),-sum(x),[],w)
mbg_asserttolequal(double(sum(x)), 0.8, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);
% 
% yalmip('clear')
% 
% x = sdpvar(3,1);
% w = sdpvar(2,1);
% 
% F = set(norm(x,1) + norm(w,1) < 1) + set(norm(w,1) < 0.3) + set(norm(w,inf) < 0.1);
% sol = solverobust(F,-sum(x),[],w);
% mbg_asserttolequal(double(sum(x)), 0.8, 1e-5);
% mbg_asserttolequal(sol.problem, 0, 1e-5);

yalmip('clear')
sdpvar x w t1 t2;
F = set(abs(x) + w < 1) + set(w == t1*(-0.5) + t2*0.5) + set([t1 t2]>0)+set(t1+t2 == 1)
sol = solverobust(F,-x,[],[w;t1;t2]);
mbg_asserttolequal(double(x), 1/2, 1e-5);
mbg_asserttolequal(sol.problem, 0, 1e-5);

sdpvar x w t
F = set(x+sum(w) <= 10)
W = set(-1/2 <= w <= 1/2)
objective = (x-5)'*(x-5) + x*w;
sol = solverobust(F + W,objective,[],[w])
mbg_asserttolequal(double(x), 4.75, 1e-5);

sdpvar x w(2,1)
F = set(x+sum(w) <= 1) + set([1 x;x 2] > 0);
W = set(w'*w <= 1/2);
objective = (x+1)'*(x+1) + x*norm(w,1);
sol = solverobust(F + W,objective,[],w);
mbg_asserttolequal(double(x), -1, 1e-5);