Learn how to determine the range of values for sensitivity analysis in operations research. Apply the methods for objective function, right-hand side, and technological coefficients.

In this repository, we use Google's OR-Tools to solve an optimization task with linear programming. Linear programming is a way of optimizing the outcome of a mathematical model with linear ...

Linear programming representations for discrete-event simulation provide an alternative approach for analyzing discrete-event simulations. This paper presents several formulations for G/G/m queues and ...

A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied ...

We initiate the probabilistic analysis of linear programming (LP) decoding of low-density parity-check (LDPC) codes. Specifically, we show that for a random LDPC code ensemble, the linear programming ...

Linear programming and economic analysis by Dorfman, Robert Publication date 1958 Topics Economics -- Mathematical models, Interindustry economics Publisher New York : McGraw-Hill Collection ...

Linear programming, an introductory analysis by Loomba, N. Paul (Narendra Paul), 1927- Publication date 1964 Topics Linear programming, Industrial management, Lineaire programmering Publisher New York ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...