Optimization

This book focuses on maximum principle and verification theorem for incomplete information forward-backward stochastic differential equations (FBSDEs) and their applications in linear-quadratic optimal controls and mathematical finance.

This volume contains the edited texts of the lectures presented at the Workshop on High Performance Algorithms and Software for Nonlinear Optimization held in Erice, Sicily, at the "e;G.

Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented point of view.

Thesubjectofthisbookisthemodelingofcomplex systemsinthelife sciences constituted by a large number of interacting entities called active particles.

This book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications.

Metaheuristics, in their original definition, are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space.

This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R.

This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community.

This book offers a self-contained introduction to the theory of guiding functions methods, which can be used to study the existence of periodic solutions and their bifurcations in ordinary differential equations, differential inclusions and in control theory.

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

Solving optimization problems subject to constraints given in terms of partial d- ferential equations (PDEs) with additional constraints on the controls and/or states is one of the most challenging problems in the context of industrial, medical and economical applications, where the transition from model-based numerical si- lations to model-based design and optimal control is crucial.

Tracing its roots back to World War II, operations research (OR) has become a vital tool in military and defense strategy.

This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately.

This book is based on lectures from a one-year course at the Far Eastern Federal University (Vladivostok, Russia) as well as on workshops on optimal control offered to students at various mathematical departments at the university level.

The volume, devoted to variational analysis and its applications, collects selected and refereed contributions, which provide an outline of the field.

Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other.

Master the design and operation of perfusion cell cultures with this authoritative reference.

This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature.

Dieses Buch betont die grundlegenden Konzepte des CS-Algorithmus und seiner Varianten sowie deren Anwendung zur Lösung unterschiedlicher Optimierungsprobleme in medizinischen und ingenieurwissenschaftlichen Anwendungen.

This LNCS book is part of the FOLLI book series and constitutes the proceedings of the 9th International Workshop on Logic, Rationality, and Interaction, LORI 2023, held in Jinan, China, in October 2023.

Differential Game Theory with Applications to Missiles and Autonomous Systems explains the use of differential game theory in autonomous guidance and control systems.

This book studies R.

In writing this monograph my aim has been to present a "e;geometric"e; approach to the structural synthesis of multivariable control systems that are linear, time-invariant and of finite dynamic order.

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.

Si desea obtener o entender sus propios datos textuales para descubrir y detectar automáticamente conocimiento valioso para su empresa, ha llegado al libro indicado.

Many experiments have shown the human brain generally has very serious problems dealing with probability and chance.

A rigorous yet accessible graduate textbook covering both fundamental and advanced optimization theory and algorithms.

Econometric theory, as presented in textbooks and the econometric literature generally, is a somewhat disparate collection of findings.

In the last decades the subject of nonsmooth analysis has grown rapidly due to the recognition that nondifferentiable phenomena are more widespread, and play a more important role, than had been thought.

In this book, control and filtering problems for several classes of stochastic networked systems are discussed.

This book constitutes the refereed proceedings of the 18th International Conference on Group Decision and Negotiation, GDN 2018, held in Nanjing, China, in June 2018.

Cooperative game theory is a booming research area with many new developments in the last few years.

This book constitutes the refereed proceedings of the 19th International Conference on Group Decision and Negotiation, GDN 2019, held in Loughborough, UK, in June 2019.

Linear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear systems.

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today.

In Mathematical Analysis and Optimization for Economists, the author aims to introduce students of economics to the power and versatility of traditional as well as contemporary methodologies in mathematics and optimization theory; and, illustrates how these techniques can be applied in solving microeconomic problems.

This handbook consists of seventeen chapters written by eminent scientists from the international mathematical community, who present important research works in the field of mathematical analysis and related subjects, particularly in the Ulam stability theory of functional equations.

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

Processes of collective decision making are seen throughout modern society.

This book presents the best papers from the 1st International Conference on Mathematical Research for Blockchain Economy (MARBLE) 2019, held in Santorini, Greece.

Inverse problems are concerned with determining causes for observed or desired effects.

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing.

This monograph deals with the controlled/non-controlled nonlinear systems of differential equations.

This book explores cutting-edge medical imaging advancements and their applications in clinical decision-making.

This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2021), organized by National Institute of Technology, Silchar, Assam, India, during December 16-18, 2021.

Extremum-seeking control tracks a varying maximum or minimum in a performance function such as output or cost.

This book gives a comprehensive treatment of the fundamental necessary and sufficient conditions for optimality for finite-dimensional, deterministic, optimal control problems.