Optimization

This book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations.

Transportation problems belong to the domains mathematical program- ming and operations research.

This book develops the concepts of fundamental convex analysis and optimization by using advanced calculus and real analysis.

Freeform lens design has numerous applications in imaging, aerospace, and biomedicine.

Econophysics describes phenomena in the development and dynamics of economic systems by using of a physicMly motivated methodology.

Useful Game Theory offers a refreshing perspective on modern wisdom, empowering readers to master strategic decision-making with the tools they already possess.

This textbook introduces variational calculus and regularization methods for inverse problems, seamlessly blending classical concepts with contemporary computational applications, particularly in the field of image processing.

Advanced Textbooks in Economics, Volume 7: Foundations of Econometrics focuses on the principles, processes, methodologies, and approaches involved in the study of econometrics.

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals.

Since Additive Manufacturing (AM) techniques allow the manufacture of complex-shaped structures the combination of lightweight construction, topology optimization, and AM is of significant interest.

This book uses game theory to analyze the strategies developed in negotiation processes.

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

This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations.

This book presents the basics of linear and nonlinear optimization analysis for both single and multi-objective problems in hydrosystem engineering.

This monograph explores the history of the contribution to ballistics by the American mathematician Gilbert Ames Bliss during World War I.

Inequalities of Ostrowski and Trapezoidal Type for Functions of Selfadjoint Operators on Hilbert Spaces presents recent results concerning Ostrowski and Trapezoidal type inequalities for continuous functions of bounded Selfadjoint operators on complex Hilbert spaces.

In diesem Buch wird die Vielgestaltigkeit von Optimierung und Approximation zusammen mit ihrem breiten Umfeld anhand von Aufgaben samt ihren Lösungen und nützlichen Anwendungen zum Ausdruck gebracht.

Despite the proliferation of video games in the twenty-first century, the theory of game design is largely underdeveloped, leaving designers on their own to understand what games really are.

These Proceedings provide valuable information on the exchange of ideas between scientists who apply nonlinear programming and optimization to real world control problems and those who develop new methods, algorithms and software.

In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies.

A collection of lectures on various aspects of game theory relevant for computer scientists.

Game Theory And Decision Theory In Agent-Based Systems is a collection of papers from international leading researchers, that offers a broad view of the many ways game theory and decision theory can be applied in agent-based systems, from standard applications of the core elements of the theory to more cutting edge developments.

This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division.

This book systematically describes the concepts and principles for multi-satellite relative motion, passive and near passive formation designs, trajectory planning and control for fuel optimal formation maneuvers, and formation flying maintenance control design.

At the close of the 1980s, the independent contributions of Yann Brenier, Mike Cullen and John Mather launched a revolution in the venerable field of optimal transport founded by G.

This book presents an introduction to variational analysis, a field which unifies theories and techniques developed in calculus of variations, optimization, and control, and covers convex analysis, nonsmooth analysis, and set-valued analysis.

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

Robust design-that is, managing design uncertainties such as model uncertainty or parametric uncertainty-is the often unpleasant issue crucial in much multidisciplinary optimal design work.

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 with a comprehensive overview of the wide range of ideas, methodologies, and synergistic forces that combine to form the pre-eminent decision-aiding fields of operations research and management science (OR/MS).

Changing interest rates constitute one of the major risk sources for banks, insurance companies, and other financial institutions.

The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications.

This book offers an insider's view of how industrial problems are translated into mathematics and how solving the mathematics leads to convincing industrial solutions as well.

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.

Advances in science and technology necessitate the use of increasingly-complicated dynamic control processes.

There has been dramatic growth in the development and application of Bayesian inference in statistics.

This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization, organized by National Institute of Technology, Silchar, Assam, India, during 3-5 August 2020.

Individual turnpike results are of great interest due to their numerous applications in engineering and in economic theory; in this book the study is focused on new results of turnpike phenomenon in linear optimal control problems.

Individuals and families make key decisions that impact many aspects of financial stability and determine the future of the economy.

This book explains the basic ideas behind several variants of ant colony optimization (ACO) and shows how they may be used in real-world settings like manufacturing, engineering design, and health care.

A self-contained introduction to the use of stochastic geometry techniques for studying the behaviour of heterogeneous cellular networks.

Stochastic geometry is a relatively new branch of mathematics.

This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability.

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization.

This book contains accepted papers presented at ICGEC 2024, the 16th International Conference on Genetic and Evolutionary Computing, held from August 28-29, 2024 in Miyazaki, Japan.

This book presents a comprehensive framework for developing Industry 4.

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 introduces readers to the use of R codes for optimization problems.