Victor J Law

Numerical Methods for Chemical Engineers Using Excel, Vba, and MATLAB

• Gebundenes Buch

Produktbeschreibung

Since many practical engineering problems must be solved numerically, this text provides instruction on using numerical methods and Excel®/VBA for chemical and biomolecular engineering problems, covering a broad range of application areas. It also includes an introduction to MATLAB® that is made easier to learn after studying the programming tools in previous chapters. Each chapter contains examples that show in detail how a particular numerical method or programming methodology can be implemented. The chapters also contain end-of-chapter exercises, with solutions provided.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 247
• Erscheinungstermin: 5. März 2013
• Englisch
• Abmessung: 241mm x 151mm x 25mm
• Gewicht: 560g
• ISBN-13: 9781466575349
• ISBN-10: 1466575344
• Artikelnr.: 36474128

Autorenporträt

Victor J. Law, Ph.D., FAIChE, FIChemE, CE, initiated a program that was to become the Department of Computer Science at Tulane. During his tenure in computer science, he wrote two textbooks on introductory computer programming. In 1988, Dr. Law returned to the Chemical Engineering Department in order to resume his research career. He has taught classes in process control, transport phenomena, process design, engineering statistics, and numerical methods for chemical engineers. His research has included projects in coastal erosion, methane emissions from rice paddies, thermochemical processes for hydrogen production from water, and butanol production from biomass. Dr. Law is a Fellow of the American Institute of Chemical Engineers; a Fellow of the Institution of Chemical Engineers; a Chartered Engineer in the United Kingdom and Europe; and a Registered Professional Engineer, State of Louisiana.

Inhaltsangabe

Roots of a Single Nonlinear Equation. Visual Basic® for Applications
Programming. Linear Algebra and Systems of Linear Equations. Numerical
Differentiation and Integration. Ordinary Differential Equations (Initial
Value Problems). Ordinary Differential Equations (Boundary Value Problems).
Regression Analysis and Parameter Estimation. Partial Differential
Equations. Linear Programming, Nonlinear Programming, Nonlinear Equations,
and Nonlinear Regression Using Solver. Introduction to MATLAB®. Appendix A:
Additional Features of VBA. Index.