Info

此问题已关闭。 请重新打开它进行编辑或回答。

How can a semidefinite positive program can be done?

1 次查看（过去 30 天）
Pablo
Pablo 2013-3-20
关闭： MATLAB Answer Bot 2021-8-20
just wonder if anyone could help me to solve a problem that goes like this: (with matlab and CVX)
cvx_begin sdp
variables x0 x1 x2 x3 y1 y2 y3 y4 y5
x0==1/sqrt(3)
1/3+x1^2+x2^2+x3^2+y1^2+y2^2+y3^2+y4^2+y5^2<=1
x1==-x3
y1==y5
y2==-y4
x0*X0+x1*X1+x2*X2+x3*X3+y1*Y1+y2*Y2+y3*Y3+y4*Y4+y5*Y5>=0
maximize(x1^2+x2^2+x3^2)
cvx_end
X0, X1,.....X3,Y1,....Y5,Z1.......Z7 (in capital letters) are matrices (spherical tensors) One constraint is that the product with the variables in lowercase must be positive semidefinite, also it has to fulfil as well all the other equalities/inequalities after the variable statement.
well, this program didn't work as quadratic maximization is a not convex as required by cvx, someone knows of a way in which this optimization can be reformulated or solved with another resource
well, any input is acknowledge,
thanks, Pablo

此问题已关闭。

回答（0 个）

此问题已关闭。

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by