Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Publicado : May 15, 2018
NO EN LA EDICIÓN ACTUAL
Este blip no está en la edición actual del Radar. Si ha aparecido en una de las últimas ediciones, es probable que siga siendo relevante. Si es más antiguo, es posible que ya no sea relevante y que nuestra valoración sea diferente hoy en día. Desgraciadamente, no tenemos el ancho de banda necesario para revisar continuamente los anuncios de ediciones anteriores del Radar. Entender más
May 2018
Probar ?

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.

Descarga el PDF

 

 

 

English | Español | Português | 中文

Suscríbete al boletín informativo de Technology Radar

 

 

 

 

Suscríbete ahora

Visita nuestro archivo para leer los volúmenes anteriores