Network Flow Algorithms

Network Flow Algorithms

Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.

Network Flows

Network Flows

Among all topics covered in operations research, network flows theory offers the best context to illustrate the basic concepts of optimization. This book provides an integrative view of the theory, algorithms and applications of network flows. In order for their presentation to be more intuitive and accessible to a wider audience, the authors prefer to adopt a network or graphical viewpoint rather than relying on a linear programming approach.