Book contents
- Frontmatter
- Contents
- Notation
- Preface
- Part I Overview of Optimization:Applications and Problem Formulations
- 1 Introduction to Optimization
- Part II From General Mathematical Background to General Nonlinear Programming Problems (NLP)
- Part III Formulation and Solution of Linear Programming (LP) Problems
- Index
1 - Introduction to Optimization
from Part I - Overview of Optimization:Applications and Problem Formulations
Published online by Cambridge University Press: 17 December 2020
- Frontmatter
- Contents
- Notation
- Preface
- Part I Overview of Optimization:Applications and Problem Formulations
- 1 Introduction to Optimization
- Part II From General Mathematical Background to General Nonlinear Programming Problems (NLP)
- Part III Formulation and Solution of Linear Programming (LP) Problems
- Index
Summary
The chapter introduces basic optimization concepts, and motivates the use of optimization models and methods to engineering and scientific practice applications.It establishes key concepts, such as the types of variables, arguments to an optimization problem as continuous, integer and control functions (for optimal control problems).Further, it introduces types of optimization problems according to their formulation (such as multiobjective, bilevel, stochastic optimization problems)
- Type
- Chapter
- Information
- Optimization for Chemical and Biochemical EngineeringTheory, Algorithms, Modeling and Applications, pp. 3 - 28Publisher: Cambridge University PressPrint publication year: 2021
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