Covers modern nonlinear programming concepts for chemical process engineering applications
Explains fundamental NLP properties and algorithms for a solid foundation
Relates theory to real-world process optimization problems for practical understanding
Provides guidance on formulating and solving large-scale optimization models
Highlights methods best suited for specific applications and problem structures
Summarized by Shop
This book addresses modern nonlinear programming (NLP) concepts and algorithms, especially as they apply to challenging applications in chemical process engineering. The author provides a firm grounding in fundamental NLP properties and algorithms, and relates them to real-world problem classes in process optimization, thus making the mat
