Inverse Optimization and Linear Programming Publication Trend The graph below shows the total number of publications each year in Inverse Optimization and Linear Programming.

Calculation Methods This review focus on optimization through the application of linear programming. This section explains the background of this method. The result of a LP problem shrinks to discover ...

The Stigler “Diet Problem” is a typical question of resource optimization or, in mathematical terms, of minimization of a linear function subject to multiple linear constraints, also called linear ...

Linear Programming using Python PuLP This repository demonstrates how to use Linear programming using python package called pulp for optimization problem Examining real-world challenges reveals that ...

Lack of manpower is often cited as the most pressing barrier to the adoption of multiunit or refinery-wide optimization, as more and more workers retire out of industry and plants scramble to hire and ...

Estimation errors or uncertainities in expected return and risk measures create difficulties for portfolio optimization. The literature deals with the uncertainty using stochastic, fuzzy or ...

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.I've done several other problems already, but this ...