Optimization

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

Proposes novel methods to incorporate ignorance and uncertainty into economic modeling without complex mathematics.

This hands-on tutorial text for non-experts demonstrates biological applications of a versatile modeling and optimization technique.

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

Proposes novel methods to incorporate ignorance and uncertainty into economic modeling without complex mathematics.

This hands-on tutorial text for non-experts demonstrates biological applications of a versatile modeling and optimization technique.

Provides in-depth coverage of the modelling, behaviour, control, and stability analysis of converter-interfaced energy storage systems.

An introduction to Mathematica® and the Wolfram Language™ in the familiar context of the standard university mathematics curriculum.

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

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

Are we safer from terrorism today and is our homeland security money well spent?

Are we safer from terrorism today and is our homeland security money well spent?

An introduction to the modern theory of economic design, it develops an up-to-date treatment of the adjudication of conflicting claims.

An introduction to the modern theory of economic design, it develops an up-to-date treatment of the adjudication of conflicting claims.

With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

This text introduces students to an experimental approach to mathematics, using Maple to systematically investigate and develop mathematical theory.

This text introduces students to an experimental approach to mathematics, using Maple to systematically investigate and develop mathematical theory.

This book provides an introduction to Suzanne Scotchmer''s contributions to the economics of innovation, intellectual property incentives, and equilibrium theory.

This book provides an introduction to Suzanne Scotchmer''s contributions to the economics of innovation, intellectual property incentives, and equilibrium theory.

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

This book provides a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching.

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

This book provides a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching.

An overview of the techniques developed to circumvent computational intractability, a key challenge in many areas of computer science.

An overview of the techniques developed to circumvent computational intractability, a key challenge in many areas of computer science.

This book provides an account of the underlying mathematics of mechanism design based on linear programming.

A fascinating introduction to the key concepts and ideas of game theory.

In this book, the authors reconceptualize existing macroeconomics by treating equilibria as statistical distributions, not as fixed points.

The first textbook to explain the principles of epistemic game theory.

This book provides step-by-step descriptions of how to formulate numerical problems and develops techniques for solving them.

Political Game Theory is a self-contained introduction to game theory and its applications to political science.

A comprehensive introduction to the tools, techniques and applications of convex optimization.

A comprehensive introduction to the tools, techniques and applications of convex optimization.

A collection of papers written by prominent experts that examine a variety of advanced topics related to Boolean functions and expressions.

Treats optimal problems for systems described by ODEs and PDEs, using an approach that unifies finite and infinite dimensional nonlinear programming.

A comprehensive account that gives equal attention to the combinatorial, logical and applied aspects of partially ordered sets.

For every problem, mathematical or otherwise, there is more than one approach and much depends on the ingenuity of the person concerned.

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

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Understand common scheduling and other advanced operational problems with this valuable reference from a recognized leader in the field.

A fresh look to process control.

This book for beginning graduate students presents a course on stochastic games and the mathematical methods used in their analysis.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

A diverse selection of data science topics explored through a mathematical lens.

The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application.

The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application.

Hex Strategy is the first book to offer a comprehensive look at the game of Hex, from its history and mathematical underpinnings to discussions of advanced playing techniques.

Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry.