Matrices
David A. Harville ()
Additional contact information
David A. Harville: IBM T.J. Watson Research Center, Mathematical Sciences Department
Chapter 1 in Matrix Algebra From a Statistician’s Perspective, 1997, pp 1-11 from Springer
Abstract:
Abstract Matrix algebra is a branch of mathematics in which numbers are dealt with collectively (as rectangular arrays of numbers called matrices) rather than individually, as in “ordinary” algebra. The term matrix is formally defined in Section 1.1. Section 1.1 also includes an introduction to various basic terminology used in referring to matrices. And some basic matrix operations (scalar multiplication, matrix addition and subtraction, matrix multiplication, and transposition) are defined and their properties discussed in Section 1.2—not all of the properties of the multiplication of ordinary numbers extend to matrix multiplication. There are many different types of matrices that are sometimes singled out in the literature for special attention. Some of the most basic of these are introduced in Section 1.3. Various other types of matrices are introduced later in the book (as the need arises). In addition, there are many types of matrices that have received considerable attention in the literature but were regarded as too specialized to be considered here.
Date: 1997
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-22677-4_1
Ordering information: This item can be ordered from
http://www.springer.com/9780387226774
DOI: 10.1007/0-387-22677-X_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().