WebNov 6, 2013 · CVX is designed for disciplined convex optimization. This means that you must build your model up from primitives in a way that ensures the model is convex. Since your model includes a constraint that is not convex CVX issues the error: "Disciplined convex programming error". It also tells you the problem: "Invalid constraint {convex} … WebJan 21, 2024 · Forget CVX for the moment and just pretend this is a MATLAB expression. Choose arbitrary complex values of W1. Does the ;left-hand side evaluate to a real scalar? ... Have you proved the relevant quantities are real? ifnot, they can’t be convex. Have you carried out the exercise I suggested in my previous post? Home ; Categories ;
A quick start — CVX Users
WebNov 7, 2024 · How to use CVXQUAD’s better performing and more reliable Pade Approximant instead of CVX’s unreliable Successive Approximation method: Update as of the release of CVX 2.2 in January 2024: Except for use of Quantum (Matrix) Entropy and Matrix Logarithm related functions addressed later in this post, none of the following, to … timothy ehritt attorney
Introduction — CVX Users
WebJul 9, 2024 · I want the Kirsch operator to act on the variable x with cvx. Kirsch operator at wikipedia The Kirsch operator or Kirsch compass kernel is a non-linear edge detector … http://web.cvxr.com/cvx/doc/ WebNov 29, 2024 · Hello everyone,I have a concave problem which objective function cantains ‘‘log’’.But it may be ‘‘failed’’ with some parameters when cvx slove it.so I read Mark’s top post“ CVXQUAD: How to use CVXQUAD’s Pade Approximant ”and install CVXQUAD to instead SCA method,But when I change the’‘log’’ by ‘’-rel_entr(1 ... paroles de hey joe johnny hallyday