I want to solve this equation.

and i make the CVX codes like this.

for i=1:iteration

cvx_begin

variable xh

variable yh

variable re

minimize(re)

subject to

sqrt( (x(i)-xh)^2 +(y(i)-yh)^2 ) <= re

0<=xh<=1

0<=yh<=1

cvx_end

end

but matlab said to me like this.

Disciplined convex programming error:

Invalid operation: sqrt( {positive convex} )

sqrt( (x(t)-xh)^2 +(y(t)-yh)^2 ) <= re

is there anyone who can solve this problem?

Thanks, regards.

`norm([x(i)-xh; y(i)-yh]) <= re`

Dear Mark, I’d like to make further inquires about this question. I made some small changes based on the code of ‘orange3644’. Would the two be different?

Thanks!

cvx_begin

variable xh

variable yh

minimize(re)

subject to

for i = 1:iteration

norm([x(i)-xh;y(i)-yh]) <= re

end

0 <= xh <=1

0 <=yh <=1

cvx_end

That is a valid way of specifying the norm constraint holds for each value of `i`

from `1`

to `iteration`

.

Looking back at the original problem statement, the OP should have placed the for loop inside the `cvx_begin ... cvx_end`

, not outside it. I neglected to point that out. You have done it correctly.