Discover the complexities of Linear Optimization Problems with Inexact Data in this essential guide from The Bookish Owl. Originally developed to solve real-world challenges like military logistics and economic modeling, linear programming often faltered due to imprecise input. This book delves into the critical issue of inexact data, exploring how ‘average’ values and stochastic approaches fell short. It then introduces recent advancements, focusing on data represented by intervals, convex sets, and fuzzy sets, presenting a unified theory for these promising techniques. Essential for researchers and practitioners seeking to overcome data uncertainty in optimization, this comprehensive treatment synthesizes existing knowledge and offers new insights.