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Advanced Optimization for Process Systems Engineering (Cambridge Series in Chemical Engineering) by Ignacio E. Grossmann is a nonfiction available to read on EtoBox.

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Cover Half-title Series information Title page Copyright information Dedication Contents Preface 1 Optimization in Process Systems Engineering 1.1 Introduction 1.2 Classification of Optimization Models 1.3 Outline of the Book 2 Solving Nonlinear Equations 2.1 Process Modeling Approaches 2.2 Newton's Method 2.3 Quasi-Newton Methods Exercises 3 Basic Theoretical Concepts in Optimization 3.1 Basic Formulations 3.2 Nonlinear Programming Example 3.3 Basic Concepts 3.4 Optimality Conditions 3.4.1 Unconstrained Optimization 3.4.2 Constrained Optimization (Equalities) 3.4.3 Constrained Optimization (Inequalities) 3.4.4 Nonlinear Programming Problem 3.4.5 Active-Set Strategy Procedure for Determining a Karush-Kuhn-Tucker Point (Sargent, 1975) Exercises 4 Nonlinear Programming Algorithms 4.1 Successive-Quadratic Programming 4.2 Reduced-Gradient Method 4.3 Interior-Point Method 4.4 Comparison of NLP Algorithms 4.5 Guidelines for Formulating NLP Models Exercises 5 Linear Programming 5.1 Basic Theory 5.2 Simplex Algorithm 5.3 Numerical Example Exercises 6 Mixed-Integer Programming Models 6.1 Modeling with 0-1 Variables 6.1.1 Motivating Examples 6.1.2 Modeling with Linear 0-1 Variables yj 6.1.3

Who reads Advanced Optimization for Process Systems Engineering (Cambridge Series in Chemical Engineering)?

Author

Ignacio E. Grossmann

Publisher

University of Cambridge ESOL Examinations; Cambridge University Press

Published

2021

Language

EN

ISBN

9781108831659

Category

nonfiction

Subjects

Engineering, Science, Chemistry

Updated

2026-03-24