At the crossroads of mathematics, operations research, and computer science, linear programming has become a mature and well-understood tool to address problems in science, engineering, economics and mathematics itself. This tremendous success is based on three key components: intuitive modeling, powerful algorithms and the availability of practical solver packages. This new book is a collection of new advancements in the field of LP. It includes theoretical contributions about extensions of LP, as well as reports on applying LP in different settings: in agriculture, in different engineering disciplines and for deriving mathematical results.