Menu

As informações desta página não estão completamente disponíveis no seu idioma de escolha. Esperamos disponibiliza-las integralmente em outros idiomas em breve. Para ter acesso às informações no idioma de sua preferência, faça o download do PDF aqui.

NOT ON THE CURRENT EDITION
This blip is not on the current edition of the radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the radarUnderstand more
May 2018
Experimente?

It’s surprising how many problems can be expressed as mathematical optimization problems and often convex problems that can be efficiently solved. CVXPY is an open source Python-embedded modeling language for convex optimization problems. It’s maintained by academics at Stanford University and offers a batteries-included install for several open source and commercial solvers. The documentation includes many examples which should inspire developers to use it. It’s particularly useful for prototyping solutions even though commercially licensed solvers, such Gurobi or IBM CPLEX, may be required. In most cases though, it suffices by itself. However, the same group has written many extension packages such as DCCP and related software such as CVXOPT based on recent advances in optimization.