Optimization

The book deals with linear time-invariant delay-differential equations with commensurated point delays in a control-theoretic context.

This textbook teaches some of the basic econometric methods and the underlying assumptions behind them.

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

This volume provides an introduction to the theory of Mean Field Games, suggested by J.

Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario.

Not many disciplines can c1aim the richness of creative ideas that make up the subject of analytical mechanics.

This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics.

This book presents a systematic approach to problems in economic equilibrium based on fixed-point arguments and rigorous set-theoretical (axiomatic) methods.

This volume contains two types of papers-a selection of contributions from the "e;Second International Conference in Network Analysis"e; held in Nizhny Novgorod on May 7-9, 2012, and papers submitted to an "e;open call for papers"e; reflecting the activities of LATNA at the Higher School for Economics.

This book presents recent advances in the theory and application of the Best-Worst Method (BWM).

This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

In Practical Financial Optimization: A Library of GAMS Models, the authors provide a diverse set of models for portfolio optimization, based on the General Algebraic Modelling System.

This collection of papers investigates the most recent debates about individualism and holism in the philosophy of social science.

Services requiring parts has become a $1.

This 2000 text applies modern advances in game theory to the analysis of competition policy.

Uncertainty has been of concern to engineers, managers and .

This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences.

This book is concerned with continuous-time Markov chains.

This book contributes to the theoretical discussions of equilibria that rest on error-in which we include mistaken choices of games to play.

The same is true of applications of game theory to history, philosophy religion, and the other humanities.

Evolution is Nature's design process.

Provides a comprehensive approach to productivity and efficiency analysis using economic and econometric theory.

Many books on optimization consider only finite dimensional spaces.

The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulation and Control, ICOSC 2022, held at the National University of Mongolia, Ulaanbaatar, June 20-22, 2022.

The first part of the book is devoted to the transport equation for a given vector field, exploiting the lagrangian structure of solutions.

as anywhere today, it is becoming more d- ficult to tell the truth.

This book features mathematical and formal philosophers' efforts to understand philosophical questions using mathematical techniques.

Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems.

This tutorial introduces readers to several variants of routing problems with profits.

This book provides a practical, how-to guide to CGE models suitable for use at the undergraduate college level.

Introductory courses in combinatorial optimization are popular at the upper undergraduate/graduate levels in computer science, industrial engineering, and business management/OR, owed to its wide applications in these fields.

The book discusses essential topics in industrial and applied mathematics such as image processing with a special focus on medical imaging, biometrics and tomography.

Evolutionary Algorithms for Embedded System Design describes how Evolutionary Algorithm (EA) concepts can be applied to circuit and system design - an area where time-to-market demands are critical.

Over the last two decades there has been a great deal of research into nonlinear dynamic models in economics, finance and the social sciences.

In this thesis, we study the regularity of optimal transport maps and its applications to the semi-geostrophic system.

Stability is a very important property of mathematical models simulating physical processes which provides an adequate description of the process.

Integrated operation of hydropower stations and reservoirs has become a trend of hydropower exploitation, as an effective technical measure, integrated operation can improve the utilization efficiency of water resources, reduce the risks of flood and drought disaster, increase the safety and stability power grid and make sure that hydropower stations and reservoirs operate in an appropriate and economical way.

liegenden mathematischen Konzepte eingegangen, als Basis für ganz praktische Algorithmen.

This book presents and uses a major, new database of the most serious forms of internal resistance to the Nazi state to study empirically the whole phenomenon of resistance to an authoritarian regime.

The concept of equilibrium plays a central role in various applied sciences, such as physics (especially, mechanics), economics, engineering, transportation, sociology, chemistry, biology and other fields.

This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization.

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization.

Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.

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.