Can the best of live video on social be integrated into linear TV programming? That’s what Viacom is betting on, announcing earlier today that Viacom Labs (its division dedicated to figuring out the ...

This project aims at popularizing the usage of numerical methods, and in particular, linear programming techniques, for solving various types of information- and incentive-constrained problems in ...

A routine written in IML to solve this problem follows. The approach appends slack, surplus, and artificial variables to the model where needed. It then solves phase 1 to find a primal feasible ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

Linear programming and optimal product mix decisions directed toward maximizing accounting income typically have assumed the use of direct costing. However in this article a linear programming model ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...