May 10, 2022, 2:54 p.m. | Perceval Desforges

Towards Data Science - Medium towardsdatascience.com

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Quadratic optimization is a problem encountered in many fields, from least squares regression [1] to portfolio optimization [2] and passing by model predictive control [3]. In all of these problems, one must optimize the allocation of resources to different assets or agents (which usually corresponds to the linear term) knowing that there can be helpful or unhelpful interactions between these assets or agents (this corresponds to the quadratic term), all the while satisfying some …

constraints optimization python quadratic optimization

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