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MOS-SIAM Series on Optimization

The SIAM-MOS series, published jointly by the Mathematical Optimization Society and the Society for Industrial and Applied Mathematics, includes research monographs, textbooks of all levels, and tutorials on optimization theory, algorithms, software, computational practice, applications, and the links between these subjects. Appropriate topics 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 Health Care
  • Applications in Energy Networks
  • Renewable Resources Integer Optimization
  • Applications in Machine Learning and Signal Processing
  • Combinatorial and Mixed Integer Nonlinear Optimization
  • Conic Optimization
  • Derivative-free Optimization
  • Graphs and Networks
  • Nonlinear Optimization
Jesús De Loera
University of California, Davis
Acquisitions Editor
Paula Callaghan


Editorial Board

Santanu S. Dey
Georgia Institute of Technology
Arkadi Nemirovski
Georgia Institute of Technology
Maryam Fazel
University of Washington
David B. Shmoys
Cornell University
Serge Gratton
Stefan Ulbrich
Technische Universität Darmstadt
Andrea Lodi
Polytechnique Montréal
Stephen J. Wright
University of Wisconsin
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