Guido Buzzi-Ferraris & Flavio Manenti 
Differential and Differential-Algebraic Systems for the Chemical Engineer [EPUB ebook] 
Solving Numerical Problems

Preface
DEFINITE INTEGRALS
Introduction
Calculation of Weights
Accuracy of Numerical Methods
Modification of the Integration Inverval
Main Integration Methods
Algorithms Derived from the Trapezoid Method
Error Control
Improper Integrals
Gauss-Kronrod Algorithms
Adaptive Methods
Parallel Computations
Classes for Definite Integrals
Case Study: Optimal Adiabatic Bed Reactors for Sulfur Dioxide with Cold Shot Cooling
ORDINARY DIFFERENTIAL EQUATIONS SYSTEMS
Introduction
Algorithm Accuracy
Equation and System Conditioning
Algorithm Stability
Stiff Systems
Multistep and Multivalue Algorithms for Stiff Systems
Control of the Integration Step
Runge-Kutta Methods
Explicit Runge-Kutta Methods
Classes Based on Runge-Kutta Algorithms in the Bzz Math Library
Semi-Implicit Runge-Kutta Methods
Implicit and Diagonally Implicit Runge-Kutta Methods
Multistep Algorithms
Multivalue Algorithms
Multivalue Algorithms for Nonstiff Problems
Multivalue Algorithms for Stiff Problems
Multivalue Classes in Bzz Math Library
Extrapolation Methods
Some Caveats
ODE: CASE STUDIES
Introduction
Nonstiff Problems
Volterra System
Simulation of Catalytic Effects
Ozone Decomposition
Robertson’s Kinetic
Belousov’s Reaction
Fluidized Bed
Problem with Discontinuities
Constrained Problem
Hires Problem
Van der Pol Oscillator
Regression Problems with an ODE Model
Zero-Crossing Problem
Optimization-Crossing Problem
Sparse Systems
Use of ODE Systems to Find Steady-State Conditions of Chemical Processes
Industrial Case: Spectrokinetic Modeling
DIFFERENTIAL AND ALGEBRAIC EQUATION SYSTEMS
Introduction
Multivalue Method
DAE Classes in the Bzz Math Library
DAE: CASE STUDIES
Introduction
Van der Pol Oscillator
Regression Problems with the DAE Model
Sparse Structured Matrices
Industrial Case: Distillation Unit
BOUNDARY VALUE PROBLEMS
Introduction
Shooting Methods
Special Boundary Value Problems
More General BVP Methods
Selection of the Approximitating Function
Which and How Many Support Points Have to Be Considered?
Which Variables Should Be Selected as Adaptive Parameters?
The BVP Solution Classes in the Bzz Math Library
Adaptive Mesh Selection
Case Studies
APPENDIX
Linking the Bzz Math Library to Matlab
Copyrights
Index

Guido Buzzi-Ferraris is full professor of process systems engineering at Politecnico die Milano, Italy, where he holds two courses: ‘Methods and Numerical Applications in Chemical Engineering’ and ‘Regression Models and Statistics’. He works on numerical analysis, statistics, differential systems, and optimization. He has authored books of international relevance on numerical analysis, such as ‘Scientific C++’ edited by Addison-Wesley, and over than 200 papers on international magazines. He is the inventor and the developer of Bzz Math library, which is currently adopted by academies, R&D groups, and industries. He is permanent member of the ‘EFCE Working Party – Computer Aided Process Engineering’ since 1969 and editorial advisory board of ‘Computers & Chemical Engineering’ since 1987.
Flavio Manenti is assistant professor of process systems engineering at Politecnico di Milano, Italy. He obtained his academic degree and Ph D at Politecnico di Milano, where he currently collaborates with Professor Buzzi-Ferraris. He holds courses on ‘Process Dynamics and Control of Industrial Processes’ and ‘Supply Chain Optimization’ and he works on numerical analysis, process control and optimization. He has also received international scientific awards, such as Memorial Burianec (Prague, CZ) and Excellence in Simulation (Lake Forest, CA, USA), for his research activities and scientific publications.