Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

The problem is now in the standard form for linear programming problems: an objective function that is to be maximized, subject to a number of constraints. We go on to examine solution methods.

Stable Matchings, Optimal Assignments, and Linear Programming By: A. E. Roth, U. G. Rothblum and J. H. Vande Vate ...

Markov renewal programming is treated by linear fractional programming. Particular attention is given to the resolution of tied policies that minimize expected cost per unit time. The multichain case ...