Optimization

For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability.

Praise from the Second Edition "e;.

The authoritative guide to modeling and solving complex problems with linear programming extensively revised, expanded, and updated The only book to treat both linear programming techniques and network flows under one cover, Linear Programming and Network Flows, Fourth Edition has been completely updated with the latest developments on the topic.

Features recent advances and new applications in graph edge coloring Reviewing recent advances in the Edge Coloring Problem, Graph Edge Coloring: Vizing's Theorem and Goldberg's Conjecture provides an overview of the current state of the science, explaining the interconnections among the results obtained from important graph theory studies.

Praise for the Second Edition: "e;This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, and applications.

The authoritative guide to modeling and solving complex problems with linear programming extensively revised, expanded, and updated The only book to treat both linear programming techniques and network flows under one cover, Linear Programming and Network Flows, Fourth Edition has been completely updated with the latest developments on the topic.

Praise from the Second Edition "e;.

A complete, highly accessible introduction to one of today's most exciting areas of applied mathematics One of the youngest, most vital areas of applied mathematics, combinatorial optimization integrates techniques from combinatorics, linear programming, and the theory of algorithms.

A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic in optimization as the key to unifying the two fields.

A thorough and highly accessible resource for analysts in a broadrange of social sciences.

This new work by Wilfred Kaplan, the distinguished author of influential mathematics and engineering texts, is destined to become a classic.

A fundamental introduction to modern game theory from a mathematical viewpoint Game theory arises in almost every fact of human and inhuman interaction since oftentimes during these communications objectives are opposed or cooperation is viewed as an option.

A rigorous yet accessible graduate textbook covering both fundamental and advanced optimization theory and algorithms.

This accessible overview introduces the Christoffel–Darboux kernel as a novel, simple and efficient tool in statistical data analysis.

A unique text covering both basic and advanced concepts of optimization theory and methods for process systems engineers.

Modern and unique treatment of process optimization which presents an exposition of applications and algorithms in detail for practical use.

Modern and unique treatment of process optimization which presents an exposition of applications and algorithms in detail for practical use.

A lively introduction to Game Theory, ideal for students in mathematics, computer science, or economics.

Up-to-date guide to deep learning with unique content, rigorous math, unified notation, comprehensive algorithms, and high-quality figures.

A graduate text providing broad coverage of linear multivariable control systems, including several new results and recent approaches.

Up-to-date guide to deep learning with unique content, rigorous math, unified notation, comprehensive algorithms, and high-quality figures.

A hands-on text integrating mathematics, numerics and applications of optimization, with MATLAB code illustrating every concept.

A unique treatment of evolutionary games, indirect reciprocity, sequential decision making, and application to wireless and social networks.

Master the design and operation of perfusion cell cultures with this authoritative reference.

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Address vector and matrix methods necessary in numerical methods and optimization of linear systems with this practical text.

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

A concise, accessible guide to the modern optimization methods that are transforming computer science, data science, and machine learning.

Discover interplay between matrices, linear programming, and game theory at an introductory level, requiring only high school algebra and curiosity.

Discover interplay between matrices, linear programming, and game theory at an introductory level, requiring only high school algebra and curiosity.

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

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

This book adopts an individual differences approach to explain the psychology of chess by reviewing an extensive body of research.

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

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

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

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

A concise, accessible guide to the modern optimization methods that are transforming computer science, data science, and machine learning.

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

This analytical history of World War I offers a rigorous yet accessible training in game theory, and a survey of modern political science research.

This analytical history of World War I offers a rigorous yet accessible training in game theory, and a survey of modern political science research.

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.