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 | | Mathematical Methods in Chemical Engineering (Topics in Chemical Engineering) by Arvind Varma, Massimo Morbidelli ISBN-10: 9780195098211 ISBN-10: 0-19-509821-8 ISBN-13: 9780195098211 ISBN-13: 978-0-19-509821-1 Hardcover 1997-04-03 Oxford University Press, USA Find Lowest Price |
Editorials | ||
Product Description Mathematical Methods in Chemical Engineering builds on students' knowledge of calculus, linear algebra, and differential equations, employing appropriate examples and applications from chemical engineering to illustrate the techniques. It provides an integrated treatment of linear operator theory from determinants through partial differential equations, featuring an extensive chapter on nonlinear ordinary differential equations as well as strong coverage of first-order partial differential equations and perturbation methods. Numerous high-quality diagrams and graphics support the concepts and solutions. Many examples are included throughout the text, and a large number of well-conceived problems at the end of each chapter reinforce the concepts presented. Also, in some cases the results of the mathematical analysis are compared with experimental data--a unique feature for a mathematical book. The text offers instructors the flexibility to cover all of the material presented or to select a few methods to teach, so that they may cultivate the specific mathematical skills which are most appropriate for their students. The topical coverage provides a good balance between material which can be taught in a one-year course and the techniques that chemical engineers need to know to effectively model, analyze, and carry out numerical simulations of chemical engineering processes, with an emphasis on developing techniques which can be used in applications. Mathematical Methods in Chemical Engineering serves as both an ideal text for chemical engineering students in advanced mathematical methods courses and a comprehensive reference in mathematical methods for chemical engineering practitioners in academic institutions and industry. | ||
Reviews | ||
worst math text ever As a current grad student I have had the misfortune of encountering this book. This book is horrible even by math book standards. As others have said, it is poorly organized, doesn't explain the concepts well, doesn't actually teach how to go about solving problems, and examples skip too many steps. Every grad student has seen or heard these dreaded words: "(insert equation) can be solved easily to arrive at (insert completely different eqation minus the ten or twenty preceeding steps)" This book is filled with those instances. Professors, if you are caring enough to read this, care enough about your students NOT to get this book. | ||
Poorly written and just plain terrible Being a grad student, I have used many textbooks in my life, and I can honestly say this ranks as the absolute worse one I have ever come across. The explainations either skip a lot of steps, or are so poorly worded, or both that I've given up trying to understand this book. Often, examples are not given for difficult topics. And the examples that are given are always very simple ones that help us very little in understanding the concepts. I am not exaggerating when I say this is the worst text book I have ever used. I do sincerely mean this. | ||
How Can So Many Lines of Text Amount To So Little? This has to rank as one of the most poorly written, disorganized textbooks I have ever had the misfortune of purchasing and attempting to use. I know many students complain about textbooks that we are oftentimes made to purchase unwillingly but usually I just grin and bear the pain for the moment and consider the book to be an addition to my library, possible for some use as a future reference...but in the case of this book I only hope that I can unload it on somebody. I've taken engineering math at the undergraduate and graduate level and found the texts used in those clases (O'Neil, Kreysig) althought not perfect, 1E3 times better than this book which is supposed to be aimed at chemical engineering students (which I am/was). The layout is bad with little continuity with respect to covered topics, the examples are basically useless with many of the basic derivations left-out and the explanations lack clarity. If these guys are ChEng professors they should stay away from writing mathematic texts and leave it to the mathematicians. | ||