Optimization

Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems.

This book constitutes the refereed proceedings of the Second International Meeting on Innovation for Systems Information and Decision meeting, INSID 2020, held in Recife, Brazil, in December 2020.

This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications.

This proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology, computational science, education research, literature studies, political science, international relations, social media research, and urban studies.

This book is an original-the first-ever treatment of the mathematics of Luck.

This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields.

This book is about algebraic and differential methods, as well as fractional calculus, applied to diagnose and reject faults in nonlinear systems, which are of integer or fractional order.

"e;Efficient breach"e; is one of the most discussed topics in the literature of law and economics.

This brief describes the basics of Riemannian optimization-optimization on Riemannian manifolds-introduces algorithms for Riemannian optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to problems in other fields.

This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view and from applications in all fields.

This book presents a panorama about the recent progress of industrial mathematics from the point of view of both industrials and researchers.

The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry.

This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are applied to the study of optimization problems.

This book presents the theory and methods of flexible and generalized uncertainty optimization.

This book comprises selected papers of the 25th International Conference on Difference Equations and Applications, ICDEA 2019, held at UCL, London, UK, in June 2019.

This contributed volume focuses on various important areas of mathematics in which approximation methods play an essential role.

This book is devoted to the study of a class of optimal control problems arising in mathematical economics, related to the Robinson-Solow-Srinivasan (RSS) model.

This focused monograph presents a study of subgradient algorithms for constrained minimization problems in a Hilbert space.

This book studies complex systems with elements represented by random variables.

This book introduces a cross-layer design to achieve security and resilience for CPSs (Cyber-Physical Systems).

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes.

This book presents simple design paradigms related to lightweight design, that are derived from an in-depth and theoretically sound analysis based on Pareto theory.

This Palgrave Pivot presents tournament design mainly within the axioms of incentive compatibility and fairness.

This volume provides an introduction to the theory of Mean Field Games, suggested by J.

This book is an exploration of the ubiquity of ambiguity in decision-making under uncertainty.

This highly informative and carefully presented textbook introduces the general principles involved in system design and optimization as applicable to thermal systems, followed by the methods to accomplish them.

This book is a new contribution aiming to give some last research findings in the field of optimization and computing.

This book presents efficient metaheuristic algorithms for optimal design of structures.

This Springer brief addresses the challenges encountered in the study of  the optimization of time-nonhomogeneous Markov chains.

This book gathers nineteen papers presented at the first NLAGA-BIRS Symposium, which was held at the Cheikh Anta Diop University in Dakar, Senegal, on June 24-28, 2019.

In a series of conversational essays, this textbook discusses the manner in which economic thought addresses a broad array of everyday issues beyond classical textbook treatments.

Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization.

This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, epidemiology, finance, and other fields.

Advances in discrete mathematics are presented in this book with applications in theoretical mathematics and interdisciplinary research.

This tutorial is the first comprehensive introduction to (possibly infinite) linear systems containing strict inequalities and evenly convex sets.

This book will serve as a reference, presenting state-of-the-art research on theoretical aspects of optimal sensor coverage problems.

This book presents the best papers from the 2nd International Conference on Mathematical Research for Blockchain Economy (MARBLE) 2020, held in Vilamoura, Portugal.

2019 marked the 85th anniversary of Heinrich Freiherr von Stackelberg's habilitation thesis "e;Marktform und Gleichgewicht,"e; which formed the roots of bilevel optimization.

This book includes papers presented at the ISDG12-GTM2019 International Meeting on Game Theory, as a joint meeting of the 12th International ISDG Workshop and the 13th "e;International Conference on Game Theory and Management"e;, held in St.

This Springer brief discusses the use of control engineering methods to plan a cancer therapy which tends to reduce tumour size in patients, striking a balance that minimizes the toxic effects of the treatment.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2018), which was held at the Free University of Brussels, Belgium on September 12 - 14, 2018, and was jointly organized by the German Operations Research Society (GOR) and the Belgian Operational Research Society (ORBEL).

This book is intended to be a useful contribution for the modern teaching of applied mathematics, educating Industrial Mathematicians that will meet the growing demand for such experts.

This book includes up-to-date contributions in the broadly defined area of probabilistic analysis of voting rules and decision mechanisms.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2019), which was held at Technische Universitat Dresden, Germany, on September 4-6, 2019, and was jointly organized by the German Operations Research Society (GOR) the Austrian Operations Research Society (OGOR), and the Swiss Operational Research Society (SOR/ASRO).

Economic archaeology and ancient economic history have boomed the past decades.

This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification.

This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an important aspect of stochastic control.

This book presents a compendium of selected game- and decision-theoretic models to achieve and assess the security of critical infrastructures.

This monograph collects cutting-edge results and techniques for solving nonlinear partial differential equations using critical points.

This Palgrave Pivot examines monotone games and studies incentives and outcomes when there are multiple players, and how the decision of each player affects the well-being of others in particular ways.