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 Applications publishes undergraduate and graduate textbooks, monographs and state-of-the-art expository works 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.
Panos M. Pardalos, University of Florida
Editor- Combinatorial Optimization:
Ding-Zhu Du, University of Texas at Dallas
J. Birge, University of Chicago
C.A. Floudas, Princeton University
F. Giannessi, University of Pisa
H.D. Sherali, Virginia Polytechnic and State University
T. Terlaky, McMaster University
Y. Ye, Stanford University
90 Volumes from 2006 – 2014Browse All Volumes