How to implement a convex optimization problem in MATLAB using CVX

84 次查看(过去 30 天)
I have the following optimization problem,
Where, R is a known matrix and V is a (N+1)*(N+1) size positive definite matrix.
V can be defined as v'(v')^H where v'= [v^T , t]^T and v=[exp(-j phi1),exp(-j phi2)...exp(-j phiN)]^T.
I need to solve above formulated problem using CVX in matlab.
Here, (.)^T and (.)^H corresponds to transpose and hermitian respectively. And t is an auxiliary variable.

采纳的回答

Santosh Fatale
Santosh Fatale 2023-5-22
Hi Shankul,
I understand that you want to implement the convex optimization problem in MATLAB using cvx library.
It is my understanding that you have already installed the cvx library on your system. To learn more about implementing optimization problem using cvx library, I would recommend you go through the examples available on cvx research homepage.
Furthermore, you could explore the following MATLAB documentation page related to solving convex optimization problem using Convex Optimization Toolbox.

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Startup and Shutdown 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by