matlab should known sdpvar in the code becuse if i used help it give me the meaning of it but it said instead
Unrecognized function or variable ‘yalmip’.

Error in sdpvar (line 518)
[mt,variabletype,hashed_monoms,current_hash] = yalmip(‘monomtable’);

% Define the partially specified Euclidean distance matrix
D = [0 1 0 3; 1 0 2 0; 0 2 0 0; 3 0 0 0];

% Define the size of the matrix
n = size(D, 1);

% Define the optimization variables
X = sdpvar(n, n);

% Set up the optimization problem
Constraints = [X == semidefinite(n), diag(X) == zeros(n, 1), X >= 0];
Objective = sum(sum((X – D).^2));
Options = sdpsettings(‘solver’, ‘mosek’);

% Solve the optimization problem
optimize(Constraints, Objective, Options);

% Extract the completed Euclidean distance matrix
D_complete = value(X);matlab should known sdpvar in the code becuse if i used help it give me the meaning of it but it said instead
Unrecognized function or variable ‘yalmip’.

Error in sdpvar (line 518)
[mt,variabletype,hashed_monoms,current_hash] = yalmip(‘monomtable’);

% Define the partially specified Euclidean distance matrix
D = [0 1 0 3; 1 0 2 0; 0 2 0 0; 3 0 0 0];

% Define the size of the matrix
n = size(D, 1);

% Define the optimization variables
X = sdpvar(n, n);

% Set up the optimization problem
Constraints = [X == semidefinite(n), diag(X) == zeros(n, 1), X >= 0];
Objective = sum(sum((X – D).^2));
Options = sdpsettings(‘solver’, ‘mosek’);

% Solve the optimization problem
optimize(Constraints, Objective, Options);

% Extract the completed Euclidean distance matrix
D_complete = value(X); matlab should known sdpvar in the code becuse if i used help it give me the meaning of it but it said instead
Unrecognized function or variable ‘yalmip’.

Error in sdpvar (line 518)
[mt,variabletype,hashed_monoms,current_hash] = yalmip(‘monomtable’);

% Define the partially specified Euclidean distance matrix
D = [0 1 0 3; 1 0 2 0; 0 2 0 0; 3 0 0 0];

% Define the size of the matrix
n = size(D, 1);

% Define the optimization variables
X = sdpvar(n, n);

% Set up the optimization problem
Constraints = [X == semidefinite(n), diag(X) == zeros(n, 1), X >= 0];
Objective = sum(sum((X – D).^2));
Options = sdpsettings(‘solver’, ‘mosek’);

% Solve the optimization problem
optimize(Constraints, Objective, Options);

% Extract the completed Euclidean distance matrix
D_complete = value(X); unrecognized function, sdpvar, yalmip MATLAB Answers — New Questions

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