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.)

Jesus De Loera
University of California, Davis.

Acquisitions Editor
Paula Callaghan

Editorial Board

Gennadiy Averkov

Institute of Mathematical Optimization

Simge Küçükyavuz

Northwestern University

Amitahn Basu
Johns Hopkins Univerity

Andrea Lodi
Jacobs Technion-Cornell Institute

Cornell Tech and Technion - IIT

Maryam Fazel
University of Washington

Rekha Thomas
University of Washington

Serge Gratton

Stephen J. Wright

University of Wisconsin

Fatma Kilinç-Karzan

Carnegie Mellon University









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