The goal of linear programming is to achieve the best possible outcome in a mathematical model consisting of linear equations. The earliest linear programming algorithms date back nearly 80 years, yet it still remains an active area of research to this day.
Many complex modern problems may be formulated in terms of linear programming, such as production cost minimization, transportation cost optimization, profit maximization and power flow optimization.
In this talk, we will discuss an implementation of a linear programming algorithm in q and show how it may be applied to minimize the cost of a power flow network for electricity system operators.
Register for KxCon2016 and find out more from Joel and Max about their work.