Modern Nonconvex Nondifferentiable Optimization, 9781611976731
Hardcover
Unlock solutions to complex problems with nonconvex, nondifferentiable optimization.

Modern Nonconvex Nondifferentiable Optimization

$288.59

  • Hardcover

    774 pages

  • Release Date

    27 February 2022

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Summary

Starting with the fundamentals of classical smooth optimization and building on established convex programming techniques, this research monograph presents a foundation and methodology for modern nonconvex nondifferentiable optimization. It provides readers with theory, methods, and applications of nonconvex and nondifferentiable optimization in statistical estimation, operations research, machine learning, and decision making.

A comprehensive and rigorous treatment of this emergent m…

Book Details

ISBN-13:9781611976731
ISBN-10:1611976731
Author:Ying Cui, Jong-Shi Pang
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Hardcover
Number of Pages:774
Release Date:27 February 2022
Weight:1.75kg
Dimensions:263mm x 190mm
Series:MOS-SIAM Series on Optimization
About The Author

Ying Cui

Ying Cui is an Assistant Professor of Industrial and Systems Engineering at the University of Minnesota. Previously, she spent over two years as a postdoctoral associate at the University of Southern California. Her research focuses on the mathematical foundation of data science with emphasis on optimization techniques for operations research, machine learning, and statistical estimations.

Jong-Shi Pang is the Epstein Family Chair and Professor of Industrial and Systems Engineering at the University of Southern California. Since July 2019, he has served as the Editor-in-Chief of the SIAM Journal on Optimization. His research interests include mathematical modeling and analysis of a wide range of complex engineering and economics systems, with a focus in operations research, single and multi-agent optimization, equilibrium programming, and constrained dynamical systems. In February 2021, he became a member of the National Academy of Engineering.

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