Tech Quarto
Search Advanced SearchView Cart   Checkout   
 Location:  Home » Computer Science » Transform Linear Algebra  
Categories
Computer Science
The Internet
For Dummies
Web Browsers
Windows
Digital Culture
Multimedia
Mobile & Wireless
New Releases
The Evolving Universe and the Origin of Life: The Search for Our Cosmic Roots (Lecture Notes in Physics)
Visit Laptop Nirvana for the best Cheap Discount Laptops
Bestsellers
Best Approximation in Inner Product Spaces
Non-Linear Elastic Deformations
An Introduction to Hilbert Space
A Hilbert Space Problem Book (Graduate Texts in Mathematics)
Theory of Hp Spaces
Transition Mathematics
Transform Linear Algebra
Theory of Linear Operators in Hilbert Space
Simulation (Statistical Modeling and Decision Science)
A Short Course on Banach Space Theory (London Mathematical Society Student Texts)

Transform Linear Algebra

Transform Linear Algebra

zoom enlarge 
Author: Frank Uhlig
Publisher: Prentice Hall
Category: Book

List Price: $73.33
Buy Used: $12.78
You Save: $60.55 (83%)



New (13) Used (17) from $12.78

Sales Rank: 562132

Media: Paperback
Number Of Items: 1
Pages: 528
Shipping Weight (lbs): 2.3
Dimensions (in): 11 x 7.8 x 1

ISBN: 0130415359
Dewey Decimal Number: 512.5
EAN: 9780130415356
ASIN: 0130415359

Publication Date: November 12, 2001
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: Moderate handling wear to hardcover, subject to a few markings! Ships next Business Day! 14-Day No-Hassle Return Policy!

Editorial Reviews:

Product Description

This book encourages readers to develop an intuitive understanding of the foundations of Linear Algebra. An emphasis on the concepts of Linear Algebra and Matrix Theory conveys the structure and nature of Linear Spaces and of Linear Transformations. Almost every chapter has three sections: a lecture followed by problems, theoretical and mathematical enrichment, and applications to and from Linear Algebra. Specific chapter topics cover linear transformations; row reduction; linear equations; subspaces; linear dependence, bases, and dimension; composition of maps, matrix inverse and transpose; coordinate vectors, basis change; determinants, …l-matrices; matrix eigenvalues; orthogonal bases and orthogonal matrices; symmetric and normal matrix eigenvalues; singular values; and basic numerical linear algebra techniques. For individuals in fields related to economics, engineering, science, or mathematics.



Powered by Associate-O-Matic