MOS-SIAM Series on Optimization
This series is published jointly by the Mathematical Optimization Society and the Society for Industrial and Applied Mathematics. Books in the series include research monographs, textbooks at all levels, books on applications, and tutorials.
Topics covered in the series explore the theory and practice of optimization. Our books discuss optimization theory, algorithms, software, computational practice, applications, and the links between these subjects.
The areas addressed include linear and quadratic programming, convex programming, nonlinear programming, complementarity problems, stochastic optimization, combinatorial optimization, integer programming and convex, non-smooth and variational analysis, applications in networks, applications in machine learning. conic optimization; derivative-free optimization, nonlinear optimization and emerging areas.
(Members of the MOS also receive a 30% discount at the SIAM bookstore. Use MOS_Member promo code at checkout.)
Editor-in-Chief |
Acquisitions Editor |
Editorial Board
Gennadiy Averkov Institute of Mathematical Optimization |
Simge Küçükyavuz Northwestern University |
Amitahn Basu |
Andrea Lodi Cornell Tech and Technion - IIT |
Maryam Fazel |
Rekha Thomas |
Serge Gratton |
Stephen J. Wright University of Wisconsin |
Fatma Kilinç-Karzan Carnegie Mellon University
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