Logo - springer
Slogan - springer

Birkhäuser - Birkhäuser Applied Probability and Statistics | The Self-Avoiding Walk (Reviews)

The Self-Avoiding Walk

Madras, Neal, Slade, Gordon

2013, XVI, 427 p.

A product of Birkhäuser Basel
Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$59.95

(net) price for USA

ISBN 978-1-4614-6025-1

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$79.95

(net) price for USA

ISBN 978-1-4614-6024-4

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

From the reviews:

“The Self-Avoiding Walk is a reprint of the original 1993 edition and is part of the Modern Birkhäuser Classics series. It provides numerous theorems and their proofs. It was complete for its time, with 237 items in its list of references; since then one large outstanding conjecture has been verified but the basics remain unchanged. … if you want to know anything about self-avoiding walks, it is the place to look first.” (Underwood Dudley, MAA Reviews, April, 2013)

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Probability Theory and Stochastic Processes.