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Book Description:

This book is an update of a successful first edition that has been extremely well received by the experts in the chemical process industries. The authors explain both the theory and the practice of optimization, with the focus on the techniques and software that offer the most potential for success and give reliable results. Applications case studies in optimization are presented with new examples taken from the areas of microelectronics processing and molecular modeling. Ample references are cited for those who wish to explore the theoretical concepts in more detail.

Synopsis:

In this second edition, the authors explain both the theory and the practice of optimization, with focus on the techniques and software that offer the most potential for success and give reliable results. Nonlinear programming, mixed-integer programming and global optimization are all explored. Applications and case studies in optimization are presented with examples taken from the areas of microelectronics processing and molecular modelling. References are also cited for those who wish to explore the theoretical concepts in more detail.

Table of Contents:

I Problem Formulation
1 The Nature and Organization of Optimization Problems
2 Developing Models for Optimization
3 Formulation of the Objective Function
II Optimization Theory and Methods
4 Basic Concepts of Optimization
5 Optimization for Unconstrained Functions: One-
Dimensional Search
6 Unconstrained Multivariable Optimization
7 Linear Programming and Applications
8 Nonlinear Programming with Constraints
9 Mixed-Integer Programming
10 Global Optimization for Problems Containing

Continuous and Discrete Variables
IIIApplications of Optimization
11 Heat Transfer and Energy Conservation
12 Separation Processes
13 Fluid Flow Systems
14 Chemical Reactor Design and Operation
15 Optimization in Large-Scale Plant Design and

Operations
16 Integrated Planning, Scheduling, and Control in

the Process Industries
Appendixes