ABSTRACT
Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided into two main parts. The first covers the theory of linear and integer optimization, including both basic and advanced topics. Dantzig's simplex algorithm, duality, sensitivity analysis, integer optimization models
TABLE OF CONTENTS
part |2 pages
Part I: Linear optimization theory: basic techniques
part |2 pages
Part II: Linear optimization practice: advanced techniques
part |2 pages
Appendices