I have a typical linear programming optimization problem with a huge data set (millions of records and upwards of 150 GB data file). The size of the data is causing cost issues for reaching an optimal solution.
Is it possible to convert linear programming problems to machine learning type of problems that can be solved with more cost effective means?
Thanks