Описание
Numerical Methods with Chemical Engineering Applications
Designed primarily for undergraduates, but also graduates and practitioners, this textbook
integrates numerical methods and programming with applications from chemical engineering.
Combining mathematical rigor with an informal writing style, it thoroughly introduces the theory
underlying numerical methods, its translation into MATLAB programs, and its use for solving
realistic problems. Specific topics covered include accuracy, convergence and numerical stability,
as well as stiffness and ill-conditioning. MATLAB codes are developed from scratch, and their
implementation is explained in detail, all while assuming limited programming knowledge. All
scripts employed are downloadable, and built-in MATLAB functions are discussed and contextualized. Numerous examples and homework problems – from simple questions to extended case
studies – accompany the text, allowing students to develop a deep appreciation for the range of
real chemical engineering problems that can be solved using numerical methods. This is the ideal
resource for a single-semester course on numerical methods, as well as other chemical engineering
courses taught over multiple semesters.
Kevin D. Dorfman is Professor of Chemical Engineering and Materials Science at the University
of Minnesota. He is the recipient of the Colburn Award of the AIChE, the DARPA Young Investigator Award, a Packard Fellowship, the NSF CAREER Award, and both the Dreyfus New Faculty
and Teacher-Scholar Awards. He has co-authored over 100 papers.
Prodromos Daoutidis is Professor and Executive Officer in the Department of Chemical Engineering and Materials Science at the University of Minnesota. He is the recipient of the NSF
CAREER Award, the PSE Model Based Innovation Prize, the Ted Peterson Award of the AIChE,
the McKnight Land Grant Professorship, the Ray D. Johnson/Mayon Plastics Professorship, and
the Shell Chair. He has been a Humphrey Institute Policy Fellow. He has co-authored two research
monographs and over 220 papers.
Детали
- Год издания
- 2017
- Format