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Cambridge University Press Cambridge Advanced Optimization for Process Systems Engineering

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Description

Master complex mathematical reasoning with this comprehensive textbook from Cambridge University Press. Based on forty years of teaching experience, this volume provides a deep dive into optimization theory tailored specifically for process systems engineers. It bridges the gap between basic calculus and advanced mathematical methods, making high-level concepts accessible to those with a foundation in linear algebra. The text covers a wide range of essential topics, including continuous, discrete, and logic optimization through linear, nonlinear, mixed-integer, and generalized disjunctive programming. Readers will also explore optimization under uncertainty via stochastic programming and flexibility analysis, alongside vital decomposition techniques like Lagrangean and Benders decomposition. This resource is designed to build a strong understanding of both basic and advanced methods used in modern engineering.

Key Features

Cambridge University Press provides this textbook as part of the Cambridge Series in Chemical Engineering.

The content is built upon forty years of specialized teaching experience to ensure clarity for students.

Learn advanced optimization methods including linear, nonlinear, mixed-integer, and generalized disjunctive programming.

Study optimization under uncertainty through topics such as stochastic programming and flexibility analysis.

Master decomposition techniques including both Lagrangean and Benders decomposition methods.

The material is designed for easy understanding by anyone with a basic background in calculus and linear algebra.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 March 2021
Listed Since
13 October 2020

Barcode

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