Springer Optimization and Its Applications
Optimization has been expanding in all directions at an astonishing rate during the last few decades. New algorithmic and theoretical techniques have been developed, the diffusion into other disciplines has proceeded at a rapid pace, and our knowledge of all aspects of the field has grown even more profound. At the same time, one of the most striking trends in optimization is the constantly increasing emphasis on the interdisciplinary nature of the field. Optimization has been a basic tool in all areas of applied mathematics, engineering, medicine, economics and other sciences.
The series Springer Optimization and Its Applicationsaims to publish state-of-the-art expository works (monographs, contributed volumes, textbooks) that focus on algorithms for solving optimization problems and also study applications involving such problems. Some of the topics covered include nonlinear optimization (convex and nonconvex), network flow problems, stochastic optimization, optimal control, discrete optimization, multi-objective programming, description of software packages, approximation techniques and heuristic approaches.
Volumes from this series are indexed by Web of Science, zbMATH, Mathematical Reviews, and SCOPUS.
Editor- Combinatorial Optimization:
Ding-Zhu Du, University of Texas at Dallas
J. Birge, University of Chicago
S. Butenko, Texas A & M University
F. Giannessi, University of Pisa S. Rebennack, Karlsruhe Institute of Technology
T. Terlaky, Lehigh University
Y. Ye, Stanford University
137 Volumes from 2006 – 2018Browse All Volumes