This paper investigates the equivalence between a class of mixed-integer linear and linear programming prob-lems. By utilizing the addition of slack variables theorem, we demonstrate that certain ...

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

Learn what linear programming is and how it can help you balance the supply and demand of electricity from renewable energy sources.

On account of the alternation of quantifiers in the specification of a Quantified Linear Program (QLP), this problem is non-trivial. QLPs represent a class of Declarative Constraint Logic Programs ...

In this lecture we consider goal-directed proof search as the foundation of linear logic programming. In order to allow both declarative and operational readings of a program, we restrict ourselves to ...

This paper treats a Markov decision problem with an infinite planning horizon and no discounting. This model is analyzed by application, perhaps repeated, of a simple linear program. With over 12,500 ...

Ron Shamir, Probabilistic Analysis in Linear Programming, Statistical Science, Vol. 8, No. 1, Report from the Committee on Applied and Theoretical Statistics of the National Research Council on ...

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.