Advanced Engineering Mathematics

This text is awful. I'm not sure about the state of earlier editions, but this one has so many errors in both the problem sets AND the learning material. Some of the chapter examples even have errors in them. It is an okay book if you're looking to get a general concept of just about every fundamental topic in applied math (the author covers everything, I will concede that). Even so, I honestly believe you can get a better education from some google scavenging and maybe one or two smaller texts on the more difficult material.If this textbook isn't required for your course, don't use it.

This review is for the paperback, international 10th edition of Advanced Engineering Mathematics by Erwin Kreyszig (ISBN 9788126554232). After review, this looks identical to the hardcover, US 10th edition, including problems. It's in black and white except for the blue outer cover, and in particular it's hard to see important equations that would stand out if this book were in color. A lot of it is pretty dense and difficult to follow at times, so if this is a required textbook for you for some engineering analysis class you have (which was the case for me, at least), I wish your professor will be as good at explaining the stuff as mine was.

The Good: Covers lots of ground, isn't focused just on one facet of math. It has reference info (trig, integrals, etc.) conveniently located on thicker-than-average paper inside the inner and outer covers. Therefore useful to the grad student needing to fill in gaps in their knowledge for advanced engineering studies, for quals, etc.The Bad: As is usual with many math books, it's big, thick and heavy. And expensive. And despite their being on Tenth edition, I spot an editing error just about once per chapter (and also in the solutions to odd-numbered problems in back).

The book didn't help me develop an intuition for the concepts it covers. I have the impression that it's not so much written for a learning student, but maybe more for status and bragging rights among PhD colleagues.It sucks the fun out of mathematics and without YouTube I would have dropped the class.

When I was in school I disliked this book. Looking back, I realize I just had the wrong approach to it. Now that I've taken my studies into my own hands, I'm no longer bound by the textbook choice of my professors. Consequently, I've looked through a lot of different books (though certainly not all) to find one I liked the best. I was both surprised and delighted to settle on Kreyszig's book. What I like about Kreyszig's teaching style is that he doesn't (typically) leave anything out. He's very good at providing the motivation for things, so you have some idea of how you might arrive to the mathematical developments on your own. His writing style is moderately informal, which I enjoy for how it gives further insight into how the material can be understood. And he typically moves along at a pretty good pace—at least, one that I'm personally comfortable with. But if I try to understand everything on my first read through a section, I wind up confused and dazed. I have to be willing to leave some ideas unsettled and trust that he'll address them later—and as far as I've seen, that trust has not been in vain.My earlier problem with the book was that I would get to a place where I didn't understand it, where I got lost, and I just stopped reading any further or spent a tremendous amount of energy trying to figure out what I couldn't understand. Well, that's not the way to read Kreyszig's book, and so I hope this review can save some people that trouble. You just have to allow him to develop the idea completely and not stop for questions until you get to the end of the section—then re-read or skim through the section's problems to see if that might help clear things up.I also really like the exercises and problems he has in this book, which is rare for me because I hated doing problems when I was in school and felt like I was wasting my time. Kreyszig has a good way of asking you to consider why he might be asking you to do a problem, and to get you to see extensions and interconnections of ideas. So I never feel like I'm wasting my time with his problems; I feel that there are valuable gems to be found in them.All in all, out of all (of the limited set) of textbooks that I've looked at, I think I trust and enjoy Kreyszig's the most for my personal education, because it seems just about everything is there if you're willing to consider all the material he presents. He's good at showing you where you came from and where you might be going with the material in the future, and develops ideas in an informal enough manner that it feels more like sitting in a professor's office for a genuine and candid discussion of the subject, rather than sitting in a boring and disjoint lecture. His book doesn't seem to suffer in the way that some textbooks do by making the reader think there's only one way to develop an idea. (As an aside, I sometimes prefer Apostol's Calculus for how he discusses and develops ideas honestly and candidly, but at the end of the day I keep going back to Kreyszig for my primary reading.)I would encourage anyone who dislikes this book to take a step back and reconsider, as I have.Regarding the Kindle edition,I actually really like the Kindle edition of this book. Unlike a lot of Kindle books, it's presented in a textbook format where a page is a page—the text isn't free-floating and doesn't suffer from continually being rearranged spatially at the whims of a text engine. This helps me a lot in studying because I can maintain a spatial awareness of where some material is, much like an actual textbook. I've found this to be nearly invaluable for complex subjects. I have a regular sized iPad and it works nice for this, but I can imagine that it would be a little more difficult to read on an iPad mini or any tablet of similar size.It's also a very beautifully done textbook, in my opinion.I hope this helps!

Bought this book for a practical engineering mathematics course covering linear algebra through probability and statistics.Wow, this book is a disappointment. I am going to keep it only as a reference book because the breadth of topics is so wide and it includes some sections relevant to my field (networks, graph theory). That being said, this is a terrible book for trying to learn just about anything. Because there are so many topics on this book you can expect to have only a few paragraphs dedicated to what you're trying to learn, which is a problem when the author then goes on to give Problem Sets that don't intersect at all with the chapter. To make any use of the answer sets in this book you're left to either take blind shots in the dark and guess or buy another book that actually makes an effort to explain what you're doing. This book may be somewhat useful to remind you of concepts from time to time, but it is frustratingly useless as a learning tool.

Overall not the best book out there for graduate engineering mathematics. As others have said, it would be fine as a reference, but learning from it for the first time is an uphill battle. The examples are very scant and poorly explained, in many cases skipping steps or ignoring derivations. The formatting of the book is unpleasant to look at and often adds to the confusion. The graphic design work is just very sloppy and gives the book a poor fit and finish. Not the worst book I've ever read, but I can't recommend it when there are so many other texts out there that cover the same material.

Product was in pretty rough condition, this is what it looked like when it arrived.

I known it's a cheep version. But when I receive it I find it not as good as I hoped. the paper quality is very poor.Ok, after all it's a cheep version.

Cuprinol, does what it says on the book

Item arrived promptly . Some pages in the book are upside down. The quality of the paper for the pages is very fine.

Un texto completo y acorde de modelado y aplicaciones de las matemáticas posteriores al calculo a problemas de ingeniería, siendo su aspecto didáctico y metodológico muy apropiado para la enseñanza autodidacta.

This is a very well written applied math textbook. Though written primarily for engineers, readers in other disciplines will find it useful too. I do research in finance and this textbook has come in very handy. Also try Kreyszig's Introduction to Functional Analysis and Applications, another great textbook.