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publicado : May 15, 2018
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 Radar Understand more
May 2018
Experimente ? Vale a pena ir atrás. É importante entender como desenvolver essa capacidade. As empresas devem experimentar esta tecnologia em um projeto que possa lidar com o risco.

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.

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