Systems of Linear Equations

Arindama Singh ()
Additional contact information
Arindama Singh: Indian Institute of Technology Madras, Department of Mathematics

Chapter Chapter 2 in Introduction to Matrix Theory, 2021, pp 31-52 from Springer

Abstract: Abstract It is seen that linear independence is central to solving a system of linear equations. Linear independence leads to rank, which is computed by the use of row reduced echelon form. Further use of RREF is made in explaining the Gauss–Jordan elimination method of solving a system of linear equations.

Date: 2021
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:978-3-030-80481-7_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030804817

DOI: 10.1007/978-3-030-80481-7_2

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 ().