Optimization

This volume convenes selected, peer-reviewed works presented at the Partial Differential Equations and Applications Colloquium in Honor of Prof.

Mientras que la mayoría de los libros relativos a los problemas de optimización se dedican principalmente al diseño de algoritmos heurísticos y exactos para la solución efectiva de los problemas considerados, el objetivo de este libro es facilitar la difícil tarea de la adecuada modelización de los problemas a abordar.

This volume convenes selected, peer-reviewed works presented at the Partial Differential Equations and Applications Colloquium in Honor of Prof.

This book has two main objectives: *  to provide a concise introduction to nonlinear optimization methods, which can be used as a textbook at a graduate or upper undergraduate level; *  to collect and organize selected important topics on optimization algorithms, not easily found in textbooks, which can provide material for advanced courses or can serve as a reference text for self-study and research.

Si desea adentrarse en el mundo de la programación desde cero y avanzar progresivamente hasta cubrir los aspectos más complejos de la programación en C++, mediante el análisis y desarrollo de gran cantidad de problemas algorítmicos de todos los niveles, este libro será su gran aliado.

Si desea obtener o entender sus propios datos textuales para descubrir y detectar automáticamente conocimiento valioso para su empresa, ha llegado al libro indicado.

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.

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

WooCommerce es la plataforma para el comercio electrónico (e-commerce) más utilizada en todo el mundo.

Written by more than fifty top researchers, this text comprehensively covers a major inter-disciplinary field and its important applications.

This text is concerned primarily with the theory of linear and nonlinear programming, and a number of closely-related problems, and with algorithms appropriate to those problems.

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.

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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.

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

Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain.

This volume in the Encyclopedia of Complexity and Systems Science, Second Edition, combines the main features of Game Theory, covering most of the fundamental theoretical aspects under the cooperative and non-cooperative approaches, with the procedures of Agent-Based Modeling for studying complex systems composed of a large number of interacting entities with many degrees of freedom.

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.

In 1994 and 1998 F.

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?

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.

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.

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.