Abstract: This paper presents a data-driven optimization method based on tree search-based reinforcement learning to solve strongly non-separable mixed-integer problems. With this method, some ...

For profitable business owners, the biggest tax risks are mis-timing and misfit. Strategies like S Corps and PTET aren’t hard to find; what’s hard is knowing, early enough, whether they actually apply ...

Abstract: This paper1 is to discuss how to apply large-scale linear programming (LP) in business analytics. Two types of scenario-based LP problems are described, which would become very large-scale ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...