import numpy as np import cvxpy S = np.array([[0.04, 0.006, -0.004, 0],[0.006, 0.01, 0., 0.],[-0.004, 0., 0.0025, 0.],[0., 0., 0., 0.]]) p = np.array([0.12, 0.1, 0.07 ...

I have the following problem, I need to use CBC solver for my optimization problem and from some business reasons I cannot use regular cvxpy and CBC installed as 3rd party application. That is why I ...

Just to highlight there is an excellent comparison on the CVXPY website about the state of play for solvers with bindings in python. There are some extremely powerful open source solvers these days - ...

Abstract: We introduce cvxRiskOpt (convex Risk-based Optimization): a Python package built on top of CVXPY for the rapid prototyping of convex risk-based optimization problems and generating ...

Abstract: We introduce CVXPYgen, a tool for generating custom C code, suitable for embedded applications, that solves a parameterized class of convex optimization problems. CVXPYgen is based on CVXPY, ...

This page contains information about setting up and installing cvxpy for the 15-780 problem sets. For sumitting programming assignments you will use the Autolab system, which already has this system ...