ALGORITHMS + DATA STRUCTURES = PROGRAMS : (Prentice-Hall Series in Automatic Computation) Hardback - 1976
by Niklaus Wirth
- Used
- very good
- Hardback
- first
A$67.14
A$10.83
Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Standard delivery: 7 to 14 days
Ships from 100 POCKETS (California, United States)
Details
- Title ALGORITHMS + DATA STRUCTURES = PROGRAMS : (Prentice-Hall Series in Automatic Computation)
- Author Niklaus Wirth
- Binding Hardback
- Edition 1st Edition
- Condition Used - Very good
- Pages 366
- Volumes 1
- Language ENG
- Publisher Prentice Hall, Englewood Cliffs, NJ
- Publication date 1976
- Bookseller's Inventory # 021068
- ISBN 9780130224187 / 0130224189
- Weight 1.49 lbs (0.68 kg)
- Dimensions 9.32 x 6.23 x 1.02 in (23.67 x 15.82 x 2.59 cm)
- Category Computers - Languages / Programming
- Library of Congress subjects Data structures (Computer science), Computer programming
- Library of Congress Catalogue Number 75-11599
- Dewey Decimal Code 001.642
- Quantity available 1
About 100 POCKETS California, United States
Biblio member since 2004
If a book is damaged or lost in shipment, refund of book cost and postage is guaranteed. If a book is physically not as described in our posting, book cost and round-trip postage are refunded on the book�s return.
Reader reviews for ALGORITHMS + DATA STRUCTURES = PROGRAMS : (Prentice-Hall Series in Automatic Computation)
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