“Pseudolinear Functions and Optimization”, by Shashi Kant Mishra and Balendu Bhooshan Upadhyay, 510 pp., eBook ISBN 9780429076336 (published on 15 December 2014), DOI https://doi.org/10.1201/b17898.

Table of Content

Chapter 1 – Basic Concepts in Convex Analysis
Chapter 2 – Pseudolinear Functions: Characterizations and Properties
Chapter 3 – Constrained Pseudolinear Optimization: Characterizations of Solution Sets
Chapter 4 – Characterizations of Solution Sets in Terms of Lagrange Mul- tipliers
Chapter 5 – Pseudolinear Multiobjective Programming
Chapter 6 – Nonsmooth Pseudolinear Multiobjective Programming
Chapter 7 – Static Minmax Programming and Pseudolinear Functions
Chapter 8 – Nonsmooth Static Pseudolinear Minmax Programming Problems
Chapter 9 – Optimality and Duality in Terms of Bifunctions
Chapter 10 – Pseudolinear Multiobjective Semi-Infinite Programming
Chapter 11 – Vector Variational Inequalities and Vector Pseudolinear Op- timization
Chapter 12 – An Extension of Pseudolinear Functions and Variational In- equalities
Chapter 13 – η-Pseudolinear Functions: Characterizations of Solution Sets
Chapter 14 – Smooth Pseudolinear Functions on Riemannian Manifolds
Chapter 15 – On the Pseudolinearity of Quadratic Fractional Functions
Chapter 16 – Pseudolinear Fuzzy Mapping
Chapter 17 – Pseudolinear Functions and Their Applications