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 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 INP-ENSEEIHT	Stephen J. Wright University of Wisconsin
Fatma Kilinç-Karzan Carnegie Mellon University

 

 

 

 

 

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