A revision of the market leader, Kreyszig is known for its comprehensive coverage, careful and correct mathematics, outstanding exercises, helpful worked examples, and self-contained subject-matter parts for maximum teaching flexibility. The new edition provides invitations - not requirements - to use technology, as well as new conceptual problems, and new projects that focus on writing and working in teams.
This book is why engineers hate math. I presume Kreyszig is the kind of man who responds to his children's questions with, "Because I'm the adult and I said so!" The exercises could have been generated by a monkey playing Mad Libs with numerals and notation; they reduce math to cold calculation and avoid any attempt at leading the student to discovery. There is no joy in this book.
Potentially decent reference, but joyless and uninvolving. I attempted to use it as an introduction to vector calculus and PDEs. It claims to be a comprehensive and thorough treatment of applied math, and it achieves this by way of thoroughly superficial exposition. It is everything that makes advanced math unwelcoming.
I'm using this book as well as two other books on Engineering Mathematics by B.S Grewal and Michael Greenberg. According to me this is a great book to learn D.E. and vector calculus and the book is very good as it has covered all the necessary topics with practical examples(I like this feature).
But I would say if you have weak basic concepts then go for B.S Grewal and Michael Greenberg before coming on to this books as this book do not cover all the basic concepts and contains very less solved problem.
But,Yes,everything is explained with clarity and cover a lot of advanced approaches.
You can also use this book if you are preparing for Gate,but I recommend using other books as well,for better understanding,but if you don't want to brawl your brain than this book is enough.
It's great how much material is covered, but it doesn't go into very much depth. It will be a great reference manual after you've learned everything from a different book.
This book is a broad swath of cold, mechanical mathematics. The first half is a focus on the many ways of solving ODEs and PDEs using a huge number of tools like Linear Algebra, Fourier analysis, Laplace transforms, and vector calculus. The second half is some numeric analysis, graph theory/optimization, and probability/statistics. All valuable stuff to know as an engineer.
This text has a number of issues, the biggest being the complete lack of applications. Every chapter is straight theorems and proofs, a couple of examples, and then problems to work at the end. The examples given are usually poor or leave you in the dust on many of the practice problems, and the chapter summaries are often too sparse to be useful refreshers. Unfortunately, this uninspiring work seems to be the gold standard in many graduate level mathematics classes.
I've found this book to be a useful reference. It is not, however, a great teaching tool. It's more of a book you go to when you know exactly what you need and just can't remember the specifics off the top of your head.
There is a sickness impressed on me by this book that persists long after having read it. The paper is acidic and emits a noxious smell, as though freshly printed, despite my copy being at least twenty years old. The figures that dot the pages appear in an uneasy blue-green ink. There is excessive use of bold and italic effects, which I imagine is a deliberate attempt to disorient the reader. Various exclamatory reminders are scattered throughout, and I cannot help but imagine these are intended as threats. Contrary to what one reviewer has suggested, the exercises don’t seem procedurally generated in a disinterested fashion, but rather warily contrived to inflict maximum cognitive harm. Even as I write this review, I feel its broad reddish spine staring down at me from upon my top shelf.
This book was used in my masters engineering class. The order and workflow were perfect for applications to later studies since it covered a wide range of calculus, linear algebra and complex numbers. However, the notes and examples were never quite clear enough to walk away ready to handle the problem sets, so study required digging through lots of outside resources. Also, I estimate that around 1/5 of the problem set answers at the back of the book were wrong which is egregious for a professional quality textbook.
As much as I love mathematics... But it should be explained throughly and clearly. Otherwise even the smartest people make mistake in mathematics. I had رو read this book because of university studies. But if it was up to me I don't think I would ever read it. But have to mention it has some very serious and important discussions in the book and it's very useful.
An extraordinary book for understanding the most complex topic of mathematic. Solving ODE and series and even Laplace transform are the topic that i enjoyed in this book.
The math content and the problem sets are challenging enough to make me feel like I'm getting my money's worth so I'm thankful for that. But the book is written to spoon-feed students and I really dislike that in a textbook. The use of bold, italic and reminders in parenthesis coupled to exclamation points is superfluous. In my opinion, sentence structure and grammar should indicate to the thoughtful reader what is important. I remember my nice, dry physics textbooks from undergrad studies being more enjoyable because they made me think as I read. This math book reminds me of shallow, distracting, ADD-enhancing billboards.
i think this is the bible of maths and i m reading this book from first semester and this is my sixth semester and this is last semester in which i will read it.Although i still did not buy it but i recommend all engineering frieds to buy it because my uni had give me one copy as a prize to me haha hahaha haha haha ahaha haha ha ha
Author comes across as too impressed with himself rather than properly relaying the information; thus, the practice problems are ridiculous and the explanations slim on material. I did learn Gaussian Elimination though...lol
I like math, but I didn't like this book. I didn't like how the topics were explained and I didn't like the examples. But I guess it will come in handy if I need to look up something I've already learned.