Optimization in Science and Engineering

Chapter 1 Piecewise Linear Classifiers Based on Nonsmooth Optimization Approaches

Chapter 2 Variational Inequality Models Arising in the Study of Viscoelastic Materials

Chapter 3 Neighboring Local-Optimal Solutions and Its Applications

Chapter 5 Computational Complexities of Optimization Problems Related to Model-Based Clustering of Networks

Chapter 6 On Distributed-Lag Modeling Algorithms by r-Convexity and Piecewise Monotonicity

Chapter 7 Poincaré-Type Inequalities for Green’s Operator on Harmonic Forms

Chapter 8 The Robustness Concern in Preference Disaggregation Approaches for Decision Aiding: An Overview

Chapter 9 Separation of Finitely Many Convex Sets and Data Pre-classification

Chapter 10 The Shortest Superstring Problem

Chapter 11 Computational Comparison of Convex Underestimators for Use in a Branch-and-Bound Global Optimization Framework

Chapter 12 A Quasi Exact Solution Approach for Scheduling Enhanced Coal Bed Methane Production Through CO2 Injection

Chapter 13 A Stochastic Model of Oligopolistic Market Equilibrium Problems

Chapter 14 Computing Area-Tight Piecewise Linear Overestimators, Underestimators and Tubes for Univariate Functions

Chapter 15 Market Graph and Markowitz Model

Chapter 16 Nonconvex Generalized Benders Decomposition

Chapter 17 On Nonsmooth Multiobjective Optimality Conditions with Generalized Convexities

Chapter 18 A Game Theoretical Model for Experiment Design Optimization

Chapter 19 A Supply Chain Network Game Theoretic Framework for Time-Based Competition with Transportation Costs and Product Differentiation

Chapter 20 On the Discretization of Pseudomonotone Variational Inequalities with an Application to the Numerical Solution of the Nonmonotone Delamination Problem

Chapter 21 Designing Groundwater Supply Systems Using the Mesh Adaptive Basin Hopping Algorithm

Chapter 22 Regularity of a Kind of Marginal Functions in Hilbert Spaces

Chapter 23 On Solving Optimization Problems with Hidden Nonconvex Structures

Chapter 24 Variational Principles in Gauge Spaces

Chapter 25 Brain Network Characteristics in Status Epilepticus

Chapter 26 A Review on Consensus Clustering Methods

Chapter 27 Influence Diffusion in Social Networks

Chapter 28 A New Exact Penalty Function Approach to Semi-infinite Programming Problem

Chapter 29 On the Statistical Models-Based Multi-objective Optimization