Optimization

Written by a leading expert in turnpike phenomenon, this book is devoted to the study of symmetric optimization, variational and optimal control problems in infinite dimensional spaces and turnpike properties of their approximate solutions.

This book collects chapters on fixed-point theory and fractional calculus and their applications in science and engineering.

Discover interplay between matrices, linear programming, and game theory at an introductory level, requiring only high school algebra and curiosity.

The basis for this book is a number of lectures given frequently by the author to third year students of the Department of Economics at Leningrad State University who specialize in economical cybernetics.

This textbook is an introduction to nonlinear optimization, which treats mathematical concepts stringently on the one hand, but also motivates them in great detail and illustrates them with 42 figures.

Optimization is the process of obtaining the most appropriate solution by providing certain constraints for the given purpose or purposes.

Control theory can be roughly classified as deterministic or stochastic.

This book describes the next generation of industry-Industry 4.

An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks.

This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters.

Applying role theory and Putnam's two-level game framework to the European migration crisis of 2015, Magdalena Kozub-Karkut expertly shows how the Czech Republic, Slovakia, Hungary, and Poland used the crisis to contest their roles in the European Union (EU) and how each country and the V4, as a group, subsequently used their new contested roles in the bargaining process within the EU structures.

As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition.

This textbook provides students with fundamentals and advanced concepts in optimization and operations research.

This book provides practical solutions for addressing energy efficiency as a clause term within a charter party contract.

Several important problems arising in Physics, Differential Geometry and other topics lead to consider semilinear variational equations of strongly indefinite type and a great deal of work has been devoted to their study.

This book explores recent developments and exciting challenges in operations research and mathematical optimization.

The results presented here (including the assessment of a new tool - inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions.

Julius Petersen's paper, Die Theorie der regularen graphs in Acta Mathematica, volume 15 (1891), stands at the beginning of graph theory as we know it today.

The aim of this volume is to provide a synthetic account of past research, to give an up-to-date guide to current intertwined developments of control theory and nonsmooth analysis, and also to point to future research directions.

Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information.

This brief introduces game- and decision-theoretical techniques for the analysis and design of resilient interdependent networks.

The book aims at presenting technical and financial features of life insurance, non-life insurance, pension plans.

This book is an abridged version of our two-volume opus Convex Analysis and Minimization Algorithms [18], about which we have received very positive feedback from users, readers, lecturers ever since it was published - by Springer-Verlag in 1993.

This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks.

Real life phenomena in engineering, natural, or medical sciences are often described by a mathematical model with the goal to analyze numerically the behaviour of the system.

For quite some time, philosophers, economists, and statisticians have endorsed a view on rational choice known as Bayesianism.

This book introduces the reader to important concepts in modern applied analysis, such as homogenization, gradient flows on metric spaces, geometric evolution, Gamma-convergence tools, applications of geometric measure theory, properties of interfacial energies, etc.

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

This book collects together lectures by some of the leaders in the field of partial differential equations and geometric measure theory.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems.

This proceedings book presents selected contributions from the XVIII Congress of APDIO (the Portuguese Association of Operational Research) held in Valenca on June 28-30, 2017.

The subject of (static) optimization, also called mathematical programming, is one of the most important and widespread branches of modern mathematics, serving as a cornerstone of such scientific subjects as economic analysis, operations research, management sciences, engineering, chemistry, physics, statistics, computer science, biology, and social sciences.

This volume contains 13 selected keynote papers presented at the Fourth International Conference on Numerical Analysis and Optimization.

The Video Games Textbook takes the history of video games to the next level.

Over the last twenty years, Professor Franco Giannessi, a highly respected researcher, has been working on an approach to optimization theory based on image space analysis.

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.

This book both analyzes and synthesizes new cutting-edge theories and methods for future design implementations in smart cities through interdisciplinary synergizing of architecture, technology, and the Internet of Things (IoT).

In the quarter of a century since three mathematicians and game theorists collaborated to create Winning Ways for Your Mathematical Plays, the book has become the definitive work on the subject of mathematical games.

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.

The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory.

This book provides university students and practitioners with a collection of importance measures to design systems with high reliability, maintain them with high availability, and restore them in case of failures.

This volume is a collection of some of the best and most influential work of Yanis Varoufakis.