Book contents
- Frontmatter
- Contents
- Notation
- Preface
- Part I Overview of Optimization:Applications and Problem Formulations
- Part II From General Mathematical Background to General Nonlinear Programming Problems (NLP)
- 2 General Concepts
- 3 Convexity
- 4 Quadratic Functions
- 5 Minimization in One Dimension
- 6 Unconstrained Multivariate Gradient-Based Minimization
- 7 Constrained Nonlinear Programming Problems (NLP)
- 8 Penalty and Barrier Function Methods
- 9 Interior Point Methods (IPM’s):A Detailed Analysis
- Part III Formulation and Solution of Linear Programming (LP) Problems
- Index
8 - Penalty and Barrier Function Methods
from Part II - From General Mathematical Background to General Nonlinear Programming Problems (NLP)
Published online by Cambridge University Press: 17 December 2020
- Frontmatter
- Contents
- Notation
- Preface
- Part I Overview of Optimization:Applications and Problem Formulations
- Part II From General Mathematical Background to General Nonlinear Programming Problems (NLP)
- 2 General Concepts
- 3 Convexity
- 4 Quadratic Functions
- 5 Minimization in One Dimension
- 6 Unconstrained Multivariate Gradient-Based Minimization
- 7 Constrained Nonlinear Programming Problems (NLP)
- 8 Penalty and Barrier Function Methods
- 9 Interior Point Methods (IPM’s):A Detailed Analysis
- Part III Formulation and Solution of Linear Programming (LP) Problems
- Index
Summary
This chapter is a first introduction to penalty and barrier methods, as a direct way to transform generally constrained optimization problems to unconstrained ones.This is done through the appropriate choice of penalty and barrier functions, with the various problems facing such methods highlighted in intuitive and illustrative ways via discussion and graphical examples.The chapter also prepares the reader for the much more advanced material that follows in the next chapter.
- Type
- Chapter
- Information
- Optimization for Chemical and Biochemical EngineeringTheory, Algorithms, Modeling and Applications, pp. 91 - 100Publisher: Cambridge University PressPrint publication year: 2021