Practical Nonconvex Nonsmooth Optimization

By:   Frank E. Curtis, Daniel P. Robinson
Imprint:   Society for Industrial & Applied Mathematics,U.S.
Country of Publication:   United States
Weight:   491g
ISBN:   9781611978582
ISBN 10:   1611978580
Series:   MOS-SIAM Series on Optimization
Pages:   491
Publication Date:   30 November 2025
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Frank E. Curtis is a professor in the Department of Industrial and Systems Engineering at Lehigh University. He is a recipient of an Early Career Award from the Advanced Scientific Computing Research program of the U.S. Department of Energy, the INFORMS Computing Society Prize, and the SIAM/MOS Lagrange Prize in Continuous Optimization. He is an Area Editor for Continuous Optimization for the journal Mathematics of Operations Research and Associate Editor for Mathematical Programming, SIAM Journal on Optimization, Operations Research, IMA Journal of Numerical Analysis, INFORMS Journal on Optimization, and Mathematical Programming Computation. Daniel P. Robinson joined the Department of Industrial and Systems Engineering in the P.C. Rossin College of Engineering and Applied Science at Lehigh University in 2019. He was awarded the Professor Joel Dean Award for Excellence in Teaching at the Johns Hopkins University in 2012 and 2018 and a Best Paper Prize from Optimization Letters for his co-authored 2018 paper, “Concise Complexity Analyses for Trust-Region Methods.” He is an Associate Editor for the journals Computational Optimization and Applications, Optimization Methods and Software, Optimization Letters, and Mathematics of Operations Research. His primary research area is optimization with specific interest in the design, analysis, and implementation of efficient algorithms for large-scale convex and nonconvex problems, with particular interest in applications related to computer vision and medicine/healthcare.