Numerical Analysis, 9th Edition

I really found this book to be approachable for a student who is rather okay at Mathematics. The book explains the concepts and the theory behind numerical methods very well and is easily understood with some work. I would really recommend readers to buy this book if they intend to start on numerical analysis thanks to its approachability.

Excellent

Very good book

Excellent book

very good

whats this book is all about? Not for competitive exams after all!!! go for Iyenger book its best

Questo volume contiene alcuni dei principali metodi per risolvere i problemi più comuni dell'analisi numerica, ad esempio (ma non solo) la ricerca di soluzioni di equazioni in una variabile e di sistemi di equazioni (lineari e non), problemi di approssimazione e di interpolazione e problemi di integrazione. Gli argomenti sono esposti in maniera piuttosto chiara, con esempi ed esercizi. Viene data molta importanza anche all'errore che i metodi descritti comportano nell'approssimare una soluzione. Spesso sono anche suggeriti metodi per minimizzare tale errore. Nel libro sono presenti anche algoritmi che possono essere implementati nei principali software di calcolo (Maple, Matlab e simili) ed alcuni esempi di applicazioni (principalmente usando Maple). Un'aspetto che differenzia questo libro da altri simili è il fatto che i singoli capitoli non siano collegati tra loro, rendendo quindi il lettore libero di affrontare gli argomenti in base alle proprie necessità. Laddove dei prerequisiti sono richiesti vengono forniti dagli autori gli opportuni riferimenti (sia interni al volume stesso che ad altri volumi

Definitely the best book in numerical analysis. but it does not worth it to buy a completely new book.

I'm a grad student and I recently had to learn how to numerically solve PDE's. I'm rather new to computer programming and numerical analysis in general. I've really only been in my field for about 1 year now. I picked up this book and went straight to Chapter 12. It explained everything quite concisely and had very clear descriptions and diagrams. Armed with pen and paper, I learned how to numerically solve these PDE's quite quickly. It was honestly a fun experience. Whenever there were tools that I was missing, the authors would reference the section and chapter where you could find the necessary tools. I believe this book was written as a reference, as well as, textbook. A problem that many textbooks suffer from, is that the material is written in sequential order, with newer material depending heavily on the previous chapters. These types of books are not adept to being just picked up and read, to gather the relevant information. They require you to pretty much read all the preceding text to understand it, and who has time for that? This book is NOT like that. You can just pick it up and easily learn from it. Unlike Numerical Recipes, this provides the method with a very clear explanation and justification for the algorithms. Numerical Recipes is good, but its purpose is not to provide detailed explanations of why and how the algorithms work. To be able to use this text, I would suggest having taken Calc 1,2 & 3, differential equations, linear algebra class, and be comfortable with programming. I suspect that the folks complaining heavily about this text, are not very comfortable with with Calculus, linear algebra, and/or programming. If you are an undergrad and have not taken those classes or are not comfortable with the material, I can see you struggling. If you are a grad student in Math or Physics, this text will be rather refreshingly easy to read. It will help fill in the necessary gaps in your knowledge of computational work, if you have any like I did. Enjoy!

Buenísimo, me ha salvado el curso

Great textbook.