The Logic of Logistics

Theory, Algorithms, and Applications for Logistics Management

Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state-of-the-art in the science of logistics management. As a result, the authors have written a timely and authoritative survey of this field that many practitioners and researchers will find makes an invaluable companion to their work.

2 2.1 Examples of convex sets and nonconvex sets . . . . . . . . . . . . 16 2.2
Illustration of the definition of convex function . . . . . . . . . . . 17 2.3 Illustration of the
definition of subgradient . . . . . . . . . . . . . 22 4.1 An example for the minimum
spanning tree-based algorithm with n =18 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
4.2 An example for the nearest-insertion algorithm with n =8 . . . . 78 4.3 The
matching and the optimal traveling salesman tour . . . . . . 79 4.4 An example for
Christofides' algorithm ...