Feasibility and infeasibility in optimization : algorithms and computational methods Feasibility and Infeasibility in Optimization is a timely expository book that summarizes the state of the art in both classical and recent algorithms related to feasibility and infeasibility in optimization with a focus on practical methods. All model forms are covered including linear nonlinear and mixed integer programs. Connections to related work in constraint programming are shown. A main goal of the book is to impart an understanding of the methods so that practitioners can make immediate use of existing algorithms and software and so that researchers can extend the state of the art and find new applications. The book is of interest to researchers students and practitioners across the applied sciences who are working on optimization problems.