- Hardcover: 1280 pages
- Publisher: Wiley; 9 edition (December 24, 2002)
- Language: English
- ISBN-10: 0471231207
- ISBN-13: 978-0471231202
- Product Dimensions: 8.7 x 2.1 x 10.8 inches
- Shipping Weight: 5.6 pounds
- Average Customer Review: 26 customer reviews
- Amazon Best Sellers Rank: #1,526,453 in Books (See Top 100 in Books)
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Calculus: One and Several Variables 9th Edition
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Of course, this is a big heavy book. The newest editions are quite expensive. The slightly older editions are cheap. Since Calculus hasn't changed that much over time, the older editions are fine.
One of my favorite features is the complete lack of stock photos -- instead, they decided to fill the space with USEFUL information, and diagrams related to the topic being discussed (no baseball players and businessmen...).
The book has a fairly good balance of theory and applications, and does a good job at using elegant but INSTRUCTIVE proofs.
It is a gentler introduction that something like Apostol or Spivak -- less theory ... which depending on what you plan to use it for can be a good or bad thing. I personally used it before trying to tackle Apostol's book, and it made reading the latter much easier.
All in all, I'd recommend this book over most other calculus books geared towards this audience.
have read other reviews where the reviewer complains about too much theory. This is nonsense. If you only want formulas then take only that
from the book. If you want more it is there. This book is an excellent
precursor to analysis and differential equations. The authors don't baby
the reader but you better come well versed in precalculus. Please don't
try to study calculus if you can't do inequalities, logs, etc. and then
blame the author and your instructors for your failures.
If you are interested in theory I recommend Apostol's Calculus which covers a great range of material with rigorous foundation. As far as exercises go, Michael Spivak's Calculus is quite challenging and will keep you occupied for months.
All-in-all, a great book for brush up and single variable material but not to be used for higher dimensional analysis.