Description: From the estate of mathematician Robert Solovay. Good condition with shelfwear pictured. No tears to pages or markings to text. Protected in archival booksleeve. Check out our shop for more rare and collectible books! Terms: As long-time sellers of used and antiquarian books, we take pride in finding new homes for our extensive library of well-loved books. As such, please know we do our best to take photos from various angles and identify noteworthy wear and tear in our listings. We also package very securely in order to prevent damage in transit. Old books, to be sure, should be handled with care upon opening as pages, bindings, and adhesives may be fragile. Buyers must also understand there may be additional wear beyond what is pictured or described, and therefore buyers with very particular expectations in regards to book condition are responsible for inspecting photos carefully and contacting us to inquire for additional information and photos, which we are happy to provide. Otherwise, it is understood by both parties that the book(s) is sold "as is". We do not give partial refunds to those who identify wear to our books after delivery. If you are unsatisfied with your purchase, you may return it for a full refund at your cost. Most items are shipped securely via USPS media mail. If you would like to upgrade to Priority or another service, please notify us before payment; otherwise, the only recourse is to cancel the order and relist the item with the correct shipping price. Please contact us with shipping questions before payment.
Price: 29.95 USD
Location: Eugene, Oregon
End Time: 2024-12-08T00:20:34.000Z
Shipping Cost: 5.63 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Printing: 1st Printing
Binding: Hardcover
Place of Publication: Englewood Cliffs, NJ / Berlin, Germany
Book Title: Coding Theorems of Information Theory
Publisher: Prentice-Hall, Inc. / Springer-Verlag
Place Published: Englewood Cliffs, NJ / Berlin, Germany
Edition: 1st American Edition
Subject: Computer Science
Defects: This book is in Very Good+ condition and has a Very Good- dust, jacket. The book and its contents are in mostly clean, bright, condition. A previous owner's inked name has been crossed out, on the copyright page and also the bottom edge of the text, block. The text pages are clean and bright. The dust jacket has, several noticeable edge nicks, tears and smallish to small edge, chips missing (mostly the to the spine ends). The covers have, generalized rubbing. "This monograph originated with a course, of lectures on information theory which I gave at Cornell, Univeristy during the academic year 1958-1959. It has no, pretensions to exhaustiveness, and indeed, no pretensions at, all. Its purpose is to provide, for mathematicians of some, maturity, an easy introduction to the ideas and principals, known theorems of a certain body of coding theory." "Jacob, Wolfowitz (March 19, 1910 – July 16, 1981) was a Polish-born, American statistician and Shannon Award-winning information, theorist. He was the father of former United States Deputy, Secretary of Defense and World Bank Group President Paul, Wolfowitz....Wolfowitz's main contributions were in the fields, of statistical decision theory, non-parametric statistics,, sequential analysis, and information theory. One of his results, is the strong converse to Claude Shannon's coding theorem., While Shannon could prove only that the block error probability, can not become arbitrarily small if the transmission rate is, above the channel capacity, Wolfowitz proved that the block, error rate actually converges to one. As a consequence,, Shannon's original result is today termed "the weak theorem", (sometimes also Shannon's "conjecture" by some authors)."
Year Printed: 1961
Pages: 125p.
Publication Year: 1961
Cover: Hardcover
Format: Hardcover
Language: English
Illustration Type: B&W Illustrations
Special Attributes: 1st Edition
Author: Wolfowitz, J. (Jacob)
Topic: Computer Science
