- Home
- Computers
- Programming
- Computer Algebra and Symbolic Computation (Mathematical Methods)
Computer Algebra and Symbolic Computation (Mathematical Methods)
List Price:
$63.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Joel S. Cohen
Format:
Paperback
Pages:
466
Publisher:
CRC Press (September 30, 2020)
Language:
English
ISBN-13:
9780367659479
Weight:
30.75oz
Dimensions:
6" x 9"
File:
TAYLORFRANCIS-TayFran_260318052849962-20260318.xml
Folder:
TAYLORFRANCIS
List Price:
$63.99
Country of Origin:
United States
Case Pack:
24
As low as:
$60.79
Publisher Identifier:
P-CRC
Discount Code:
H
Pub Discount:
30
Imprint:
A K Peters/CRC Press
Overview
Mathematica, Maple, and similar software packages provide programs that carry out sophisticated mathematical operations. Applying the ideas introduced in Computer Algebra and Symbolic Computation: Elementary Algorithms, this book explores the application of algorithms to such methods as automatic simplification, polynomial decomposition, and polynomial factorization. This book includes complexity analysis of algorithms and other recent developments. It is well-suited for self-study and can be used as the basis for a graduate course. Maintaining the style set by Elementary Algorithms, the author explains mathematical methods as needed while introducing advanced methods to treat complex operations.
