Optimization

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

This monograph introduces a novel multiset-based conceptual, mathematical and knowledge engineering paradigm, called multigrammatical framework (MGF), used for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS).

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

This book introduces a new paradigm called 'Optimization in Changeable Spaces' (OCS) as a useful tool for decision making and problem solving.

Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB(R) introduces the basics of programming and of using MATLAB(R) by highlighting many mathematical examples.

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

This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization.

This English version of Ruslan L.

This book, following the three published volumes of the book, provides the main purpose to collect research papers and review papers to provide an overview of the main issues, results, and open questions in the cutting-edge research on the fields of modeling, optimization, and dynamics and their applications to biology, economy, energy, industry, physics, psychology and finance.

General Fractional Derivatives with Applications in Viscoelasticity introduces the newly established fractional-order calculus operators involving singular and non-singular kernels with applications to fractional-order viscoelastic models from the calculus operator viewpoint.

In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling.

The focus of these conference proceedings is on research, development, and applications in the fields of numerical geometry, scientific computing and numerical simulation, particularly in mesh generation and related problems.

This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software.

This book focuses on metaheuristic methods and its applications to real-world problems in Engineering.

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded in GAMS.

This book presents an epistemic framework for dealing with information-knowledge and certainty-uncertainty problems within the space of quality-quantity dualities.

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

Stabilizing and Optimizing Control for Time-Delay Systems introduces three important classes of stabilizing controls for time-delay systems: non-optimal (without performance criteria); suboptimal (including guaranteed costs); and optimal controls.

This book focuses on a large class of multi-valued variational differential inequalities and inclusions of stationary and evolutionary types with constraints reflected by subdifferentials of convex functionals.

This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning.

Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, focusing on its applicability to associated stochastic optimal control problems.

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

This monograph develops a method of creating convenient coordinate systems for game theory that will allow readers to more easily understand, analyze, and create games at various levels of complexity.

This book consists of contributions from experts, presenting a fruitful interplay between different approaches to discrete geometry.

This book presents the design of delay-efficient packet schedulers for heterogeneous M2M uplink traffic classified into several classes, based on packet delay requirements, payload size, arrival process, etc.

The Final Volume of the Groundbreaking Trilogy on Agent-Based ModelingIn this pioneering synthesis, Joshua Epstein introduces a new theoretical entity: Agent_Zero.

Gain practical knowledge of mathematical and physics concepts in order to design and develop an awesome game world using Unreal Engine 4Key FeaturesUse the Physics Asset Tool within Unreal Engine 4 to develop game physics objects for your game worldExplore the Collision mechanics within Unreal Engine 4 to create advanced, real-world physicsA step-by-step guide to implementing the Physics concepts involved in Unreal Engine 4 to create a working Vehicle BlueprintBook DescriptionThis book gives readers practical insight into the mathematical and physics principles necessary to properly implement physics within Unreal Engine 4.

Reliability Based Aircraft Maintenance Optimization and Applications presents flexible and cost-effective maintenance schedules for aircraft structures, particular in composite airframes.

Mathematica by Example, Fifth Edition is an essential desk reference for the beginning Mathematica user, providing step-by-step instructions on achieving results from this powerful software tool.

Fractional evolution inclusions are an important form of differential inclusions within nonlinear mathematical analysis.

Fractional Calculus and Fractional Processes with Applications to Financial Economics presents the theory and application of fractional calculus and fractional processes to financial data.

The Gradient Test: Another Likelihood-Based Test presents the latest on the gradient test, a large-sample test that was introduced in statistics literature by George R.

Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process.

This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science.

Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design.

This edited book addresses the challenges in managing the operations and supply chain of organizations in the era of internet of things and Industry 4.

The new edition of Mathematical Modeling, the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries.

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

This textbook contains a rigorous exposition of the mathematical foundations of two of the most important topics in politics and economics: voting and apportionment, at the level of upper undergraduate and beginning graduate students.

Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control.

Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course.

Why do Internet, financial service, and beer commercials dominate Super Bowl advertising?

Predictive Control is aimed at students wishing to learn predictive control, as well as teachers, engineers and technicians of the profession.

This book presents a short introduction to continuous-time financial models.

Portfolio Diversification provides an update on the practice of combining several risky investments in a portfolio with the goal of reducing the portfolio's overall risk.

This book presents a crisis scenario generator with black swans, black butterflies and worst case scenarios.

Finance Mathematics is devoted to financial markets both with discrete and continuous time, exploring how to make the transition from discrete to continuous time in option pricing.

Optimization Tools for Logistics covers the theory and practice of the main principles of operational research and the ways it can be applied to logistics and decision support with regards to common software.

Much research into financial contagion and systematic risks has been motivated by the finding that cross-market correlations (resp.