Optimization

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This volume consists of 14 contributed chapters written by leading experts, offering in-depth discussions of the mathematical modeling and algorithmic aspects for tackling a range of space engineering applications.

This monograph discusses the theoretical and practical development of multicriteria decision making (MCDM).

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.

Bridge is a famously challenging card game, one that's next to impossible to learn without a whole host of visual aids.

Both refining and extending previous publications by the authors, the material in this monograph has been class-tested in mathematical institutions throughout the world.

This textbook provides a hands-on treatment of the subject of optimization.

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

Linear programming finds the least expensive way to meet given needs with available resources.

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

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 presents a short introduction to the main tools of optimization methodology including linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions.

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

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

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.

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.

The second edition of this authoritative textbook continues the tradition of providing clear and concise descriptions of the new and classic concepts in financial theory.

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.

Nonlinear Optimization of Vehicle Safety Structures: Modeling of Structures Subjected to Large Deformations provides a cutting-edge overview of the latest optimization methods for vehicle structural design.

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.

The ability to understand and predict behavior in strategic situations, in which an individual's success in making choices depends on the choices of others, has been the domain of game theory since the 1950s.

How does technology advance?

This is the classic work upon which modern-day game theory is based.

This monograph, now in a thoroughly revised second edition, offers the latest research on random sets.

This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations, and their connection with partial differential equations, as well as the recent development of the fully nonlinear theory, including nonlinear expectation, second order backward stochastic differential equations, and path dependent partial differential equations.

Game Theory has served as a standard text for game theory courses since the publication of the First Edition in 1968.

The Moment-SOS hierarchy is a powerful methodology that is used to solve the Generalized Moment Problem (GMP) where the list of applications in various areas of Science and Engineering is almost endless.

In full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations.

Economic archaeology and ancient economic history have boomed the past decades.

Estimation and Inference in Discrete Event Systems chooses a popular model for emerging automation systems-finite automata under partial observation-and focuses on a comprehensive study of the key problems of state estimation and event inference.

This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences.

This book builds on two recently published books by the same authors on fuzzy graph theory.

Gathering the proceedings of the 12th CHAOS2019 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems.

This book presents the latest perspectives and challenges within the interrelated fields of econophysics and sociophysics, which have emerged from the application of statistical physics to economics and sociology.

This book provides a comprehensive and practically minded introduction into serious games for law enforcement agencies.

This book analyzes coalitional control schemes by incorporating concepts of cooperative game theory into a distributed control framework.

This book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java implementations.

This book presents a systematic approach to analyze nature-inspired algorithms.

This volume collects contributions from the speakers at an INdAM Intensive period held at the University of Bari in 2017.

This book, the first of two volumes, contains over 250 selected exercises in Algebra which have featured as exam questions for the Arithmetic course taught by the authors at the University of Pisa.

This book emphasizes those basic abstract methods and theories that are useful in the study of nonlinear boundary value problems.

This book introduces a series of problems and methods insufficiently discussed in the field of Fractional Calculus - a major, emerging tool relevant to all areas of scientific inquiry.

This work gathers a selection of outstanding papers presented at the 25th Conference on Differential Equations and Applications / 15th Conference on Applied Mathematics, held in Cartagena, Spain, in June 2017.

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics.

This monograph investigates the existence of higher order sliding mode in discrete-time systems and propounds a new concept of discrete-time higher order sliding mode.

This book introduces and analyses the latest maximum power point tracking (MPPT) techniques, which can effectively reduce the cost of power generated from photovoltaic energy systems.

This book addresses optimization in robotics, in terms of both the configuration space and the metal structure of the robot arm itself; and discusses, describes and builds different types of heuristics and algorithms in MATLAB.

This textbook provides a one-semester introduction to mathematical economics for first year graduate and senior undergraduate students.