Optimization

This book presents the construction and resolution of 50 practical optimization problems and covers an exceptionally wide range, including games-associated problems (Unblock Me, Sudokus), logistical problems, and problems concerning plant distribution, production, operations scheduling, management and resource allocation.

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 describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources.

This book is addressed to researchers in operations research, data science and artificial intelligence.

This textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI.

This book presents new techniques and methods for distributed control and optimization of networked microgrids.

The COVID-19 pandemic is not only a threat to our health and economy, but also has strong implications for defence and security.

This book presents a unified theory of convex functions, sets, and set-valued mappings in topological vector spaces with its specifications to locally convex, Banach and finite-dimensional settings.

This book aims to contribute to the discussion about the implications of fuzzy logic, neural networks, digital era, and other intelligent techniques on organizations.

This book includes the best studies on the results of the International Scientific and Practical Conference "e;New behaviors of market players in the digital economy,"e; which was held by the Institute of Scientific Communications on July 8, 2021, online, in YouTube format.

Durable strategies that have prolonged effects are prevalent in real-world situations.

This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others.

This book provides a friendly introduction to the paradigm and proposes a broad panorama of killing applications of the Infinity Computer in optimization: radically new numerical algorithms, great theoretical insights, efficient software implementations, and interesting practical case studies.

This book presents a novel unified treatment of inverse problems in optimal control and noncooperative dynamic game theory.

This book features contributions from the GTM 2020 International Meeting on Game Theory held virtually from St.

This brief aims to merge the theories of fractional calculus and discrete calculus in a concise but comprehensive manner.

Optimization of Pharmaceutical Processes presents contributions from leading authorities in the fields of optimization and pharmaceutical manufacturing.

In this monograph, the authors develop a methodology that allows one to construct and substantiate optimal and suboptimal algorithms to solve problems in computational and applied mathematics.

This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures.

This revised, updated edition provides a comprehensive and rigorous description of the application of Hamilton's principle to continuous media.

This book constitutes the refereed proceedings of the Third International Meeting on Innovation for Systems Information and Decision, INSID 2021, which was held during December 1-3, 2021.

This new 4th edition offers an introduction to optimal control theory and its diverse applications in management science and economics.

This brief explores the Krasnosel'skii-Man (KM) iterative method, which has been extensively employed to find fixed points of nonlinear methods.

This textbook, now in its second edition, results from lectures, practical problems, and workshops on Optimal Control, given by the authors at Irkutsk State University, Far Eastern Federal University (both in Vladivostok, Russia), and Kwangwoon University (Seoul, South Korea).

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.

This volume provides a timely survey of interactions between the calculus of variations and theoretical and applied mechanics.

This book describes the development of innovative non-centralized optimization-based control schemes to solve economic dispatch problems of large-scale energy systems.

This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students.

This book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in Mathematics.

This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19.

Deep connections exist between harmonic and applied analysis and the diverse yet connected topics of machine learning, data analysis, and imaging science.

This book gathers papers presented at the 13th International Conference on Mesh Methods for Boundary-Value Problems and Applications, which was held in Kazan, Russia, in October 2020.

The book addresses the minimization of special lower semicontinuous functionals over closed balls in metric spaces, called the approximate variation.

Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research.

This book addresses complex real-world problems with recent techniques.

This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities.

This concise text contains the most commonly-encountered examination problems in the topic of Optimization Models and Methods, an important module in engineering and other disciplines where there exists an increasing need to operate optimally and sustainably under constraints, such as tighter resource availability, environmental consideration, and cost pressures.

This book includes four courses on geometric measure theory, the calculus of variations, partial differential equations, and differential geometry.

In recent years, extensive research has been conducted by eminent mathematicians and engineers whose results and proposed problems are presented in this new volume.

This book presents some sufficient mathematical content with expressive result.

This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA).

This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory.

This book is devoted to problems of stochastic control and stopping that are time inconsistent in the sense that they do not admit a Bellman optimality principle.

This book provides a modern and comprehensive presentation of a wide variety of problems arising in nonlinear analysis, game theory, engineering, mathematical physics and contact mechanics.

This book should illustrate the impact of collaborations between mathematics and industry.

This textbook treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications.

This book is devoted to the development of optimal control theory for finite dimensional systems governed by deterministic and stochastic differential equations driven by vector measures.

This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER).

This book provides a broad overview of project and project management principles, processes, and success/failure factors.

The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification.