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Lancaster & Tismenetsky THE THEORY OF MATRICES 2nd Ed Academic Press 1985

captainron17
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US $30.00
ApproximatelyAU $46.39
Condition:
Like new
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Item specifics

Condition
Like new: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Unit Type
Unit
Subject Area
Information Science
Item Height
9.25 in
Educational Level
Adult & Further Education
Personalized
No
Level
Advanced
MPN
NA
Country/Region of Manufacture
United States
Unit Quantity
1
Subject
Computer Science
ISBN
9780124355606

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0124355609
ISBN-13
9780124355606
eBay Product ID (ePID)
41326

Product Key Features

Number of Pages
570 Pages
Language
English
Publication Name
Theory of Matrices : with Applications
Publication Year
1985
Subject
Algebra / Linear, Matrices, Discrete Mathematics
Features
Revised
Type
Textbook
Subject Area
Mathematics
Author
Peter Lancaster, Miron Tismenetsky
Series
Computer Science and Scientific Computing Ser.
Format
Hardcover

Dimensions

Item Weight
32.5 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
83-015775
TitleLeading
The
Edition Description
Revised edition
Table Of Content
Maxtrix Algebra. Determinants, Inverse Matrices, and Rank. Linear, Euclidean, and Unitary Spaces. Linear Transformations and Matrices. Linear Transformations in Unitary Spaces and Simple Matrices. The Jordan Canonical Form: A Geometric Approach. Matrix Polynomials and Normal Forms. The Variational Method. Functions of Matrices. Norms and Bounds for Eigenvalues. Perturbation Theory. Linear Matrix Equations and Generalized Inverses. Stability Problems. Matrix Polynomials. Nonnegative Matrices. Appendix 1. A Survey of Scalar Polynomials. Appendix 2. Some Theorems and Notions from Analysis. Appendix 3. Suggestions for Further Reading. Index.
Synopsis
In this book the authors try to bridge the gap between the treatments of matrix theory and linear algebra. It is aimed at graduate and advanced undergraduate students seeking a foundation in mathematics, computer science, or engineering. It will also be useful as a reference book for those working on matrices and linear algebra for use in their scientific work.
LC Classification Number
QA188.L36 1985

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