Analysis and Stochastics of Growth Processes and Interface Models Hardback - 2008
by Morters, Peter & Roger Moser & Mathew Penrose & Hartmut Schwetlick & Johannes Zimmer
- Used
- Hardback
A$46.23
A$9.54
Delivery within USA
Standard delivery: 5 to 14 days
More delivery options
Standard delivery: 5 to 14 days
Details
- Title Analysis and Stochastics of Growth Processes and Interface Models
- Author Morters, Peter & Roger Moser & Mathew Penrose & Hartmut Schwetlick & Johannes Zimmer
- Binding Hardback
- Edition 1St
- Condition Used - Fine with No dust jacket as issued
- Pages 348
- Volumes 1
- Language ENG
- Publisher Oxford University Press, USA, NY
- Publication date 2008
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Maps
- Bookseller's Inventory # 338378
- ISBN 9780199239252 / 0199239258
- Weight 1.4 lbs (0.64 kg)
- Dimensions 9.3 x 6.1 x 0.9 in (23.62 x 15.49 x 2.29 cm)
- Category Mathematics
- Library of Congress subjects Numerical analysis, Growth - Mathematical models
- Library of Congress Catalogue Number 2008275652
- Dewey Decimal Code 519.23
About Daedalus Books Oregon, United States
Biblio member since 2018
We are primarily a used bookstore with a fine selection of new books. We have a strong concentration in art, philosophy, music, and literature, as well as a general stock. We also buy and trade. And you can become our fan on facebook which contains updated photos of our collection.
Reader reviews for Analysis and Stochastics of Growth Processes and Interface Models
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
