Optimization

Integrates theory, algorithms, modeling, and computer implementation while solved examples show realistic engineering optimization problems.

Full treatment, from model formulation to computational implementation, of optimization techniques that solve central problems in finance.

Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems.

A complete introduction to recent advances in preprocessing analysis, or kernelization, with extensive examples using a single data set.

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Learn state-of-the-art methods for making logically sound decisions when faced with multiple conflicting objectives and uncertainty.

Learn state-of-the-art methods for making logically sound decisions when faced with multiple conflicting objectives and uncertainty.

An international team of experts covers the pros and cons of different auction formats and lessons learned in the field.

This is a single comprehensive reference source covering the key material on this subject, and describing both theoretical and practical aspects.

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.

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.

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