Optimization

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?

Stephen G.

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

The goal of the Encyclopedia of Operations Research and Management Science is to provide decision makers and problem solvers in business, industry, government, and academia a comprehensive overview of the wide range of ideas, methodologies, and synergistic forces that combine to form the preeminent decision-aiding fields of operations research and management science (OR/MS).

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 is the mathematical study of interaction among independent, self-interested agents.

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.

This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes.

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.

This book brings together research articles and state-of-the-art surveys in broad areas of optimization and numerical analysis with particular emphasis on algorithms.

This book highlights recent advances in the field of districting, territory design, and zone design.

Disjunctive Programming is a technique and a discipline initiated by the author in the early 1970's, which has become a central tool for solving nonconvex optimization problems like pure or mixed integer programs, through convexification (cutting plane) procedures combined with enumeration.

The results presented here (including the assessment of a new tool - inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions.

This book is intended to provide a systematic overview of so-called smart techniques, such as nature-inspired algorithms, machine learning and metaheuristics.

This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018.

This book presents advanced case studies that address a range of important issues arising in space engineering.

Like norms, translation invariant functions are a natural and powerful tool for the separation of sets and scalarization.

The book is devoted to intelligent design of structures as a novel kind of designing based on computational intelligence.

This book is focused on the discussion of the traffic assignment problem, the mathematical and practical meaning of variables, functions and basic principles.

This book presents cutting-edge contributions in the areas of control theory and partial differential equations.

Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems.

The Handbook of Cliometrics is a milestone in the field of historical economics and econometric history through its emphasis on the concrete contribution of cliometrics to our knowledge in economics and history.