Optimization

This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization.

This book constitutes the refereed proceedings of the 8th International Conference on Decision and Game Theory for Security, GameSec 2017, held in Vienna, Austria, in October 2017.

This brief examines mathematical models in nonsmooth mechanics and nonregular electrical circuits, including evolution variational inequalities, complementarity systems, differential inclusions, second-order dynamics, Lur'e systems and Moreau's sweeping process.

Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it illustrates optimization models and solution methods in discrete, non-differentiable, stochastic, and nonlinear optimization.

The volume includes papers from the WSCMO conference in Braunschweig 2017 presenting research of all aspects of the optimal design of structures as well as multidisciplinary design optimization where the involved disciplines deal with the analysis of solids, fluids or other field problems.

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing.

This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems.

This volume examines all aspects of using agent or individual-based simulation.

This book focuses on the interpretation of ergodic optimal problems as questions of variational dynamics, employing a comparable approach to that of the Aubry-Mather theory for Lagrangian systems.

This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 17-19, 2016.

This book provides a comprehensive and unified introduction to stochastic differential equations and related optimal control problems.

This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems.

This is the first book focusing exclusively on fuzzy dual numbers.

Mathematical treatment to properties of dynamic materials, material substances whose properties are variable in space and time are examined in this book.

Sustainable development within urban and rural areas, transportation systems, logistics, supply chain management, urban health, social services, and architectural design are taken into consideration in the cohesive network models provided in this book.

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

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components.

This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences.

This comprehensive treatment of multivariable calculus focuses on the numerous tools that MATLAB(R) brings to the subject, as it presents introductions to geometry, mathematical physics, and kinematics.

This book provides a basic, initial resource, introducing science and engineering students to the field of optimization.

The book offers an in-depth study of the translation of vote counts into seat numbers in proportional representation systems - an approach guided by practical needs.

This monograph studies voting procedures based on the probability that paradoxical outcomes like the famous Condorcet Paradox might exist.

This book includes a review of mathematical tools like modelling, analysis of stochastic processes, calculus of variations and stochastic differential equations which are applied to solve financial problems like modern portfolio theory and option pricing.

This volume gathers contributions in the field of partial differential equations, with a focus on mathematical models in phase transitions, complex fluids and thermomechanics.

This book provides a comprehensive overview of the most important and frequently considered optimization problems concerning cutting and packing.

This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics, transportation and data analysis.

This monograph offers the first systematic account of (metric) regularity theory in variational analysis.

This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing.

This book constitutes the refereed proceedings of the 17th International Conference on Group Decision and Negotiation, GDN 2017, held in Stuttgart, Germany, in August 2017.

This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms.

Renowned probability theorist Edward O.

Collecting together contributed lectures and mini-courses, this book details the research presented in a special semester titled "e;Geometric mechanics - variational and stochastic methods"e; run in the first half of 2015 at the Centre Interfacultaire Bernoulli (CIB) of the Ecole Polytechnique Federale de Lausanne.

This book addresses mathematics in a wide variety of applications, ranging from problems in electronics, energy and the environment, to mechanics and mechatronics.

This book addresses mathematics in a wide variety of applications, ranging from problems in electronics, energy and the environment, to mechanics and mechatronics.

This book presents the mathematical theory of vector variational inequalities and their relations with vector optimization problems.

This book provides a practice-driven, yet rigorous approach to executive management decision-making that performs well even under unpredictable conditions.

This book focuses on the game-theoretical semantics and epistemic logic of Jaakko Hintikka.

This book offers a case-study approach to stakeholder theory that moves beyond theoretical analysis to the applied.

The main goal of this book is to show how to modify and optimize the properties of the damping matrix in order to find the most beneficial way of adding damping to a given mechanical system.

This is the companion workbook for the textbook Principles of Microeconomics.

This edited monograph contains research contributions on a wide range of topics such as stochastic control systems, adaptive control, sliding mode control and parameter identification methods.

This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks.

This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems.

This book collects a series of contributions addressing the various contexts in which the theory of Lie groups is applied.

This book demonstrates what kind of problems, originating in a management accounting setting, may be solved with game theoretic models.

This book discusses the state-of-the-art and open problems in computational finance.

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).

This textbook, the first of its kind, presents the fundamentals of distance geometry:  theory, useful methodologies for obtaining solutions, and real world applications.

This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis.

Focusing on applications to science and engineering, this book presents the results of the ITN-FP7 SADCO network's innovative research in optimization and control in the following interconnected topics: optimality conditions in optimal control, dynamic programming approaches to optimal feedback synthesis and reachability analysis, and computational developments in model predictive control.