Hello,
I’m new to cvx. I’m trying to execute an example from “Disciplined Convex Programming” slides by Boyd and Grant.
cvx begin
variable Sigma(n,n) symmetric
maximize ( w'Sigma*w )
subject to
Sigma == semidefinite(n); % Sigma is positive semidefinite
Sigma >= L;
Sigma <= U;
cvx end
But I’m getting this error:
Error using sparse
sparse(A) does not accept char inputs A. Use sparse(double(A)) instead.
Error in cvx (line 28)
v = class( struct( 'size_', size( s ), 'basis_', sparse( s(:).' ), 'dual_',
'', 'dof_', [], 'slow_', nnz( isinf( s ) | isnan( s ) ) ~= 0 ), 'cvx', cvxobj
);
I have:
>> whos w
Name Size Bytes Class Attributes
w 4x1 32 double
>> whos L
Name Size Bytes Class Attributes
L 4x4 128 double
>> whos U
Name Size Bytes Class Attributes
U 4x4 128 double
>> whos n
Name Size Bytes Class Attributes
n 1x1 8 double
so everything is double. Could you please help me out? Thank you.
PS/Off topic.: What is this forum engine? I really like it.