Authors :
Anuja Kisanrao Raundal
Volume/Issue :
Volume 7 - 2022, Issue 10 - October
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3hMRndG
DOI :
https://doi.org/10.5281/zenodo.7338672
Abstract :
Linear algebra is an initial part of mathematics.
It is a major branch of arithmetic related to the
mathematical systems underlying the operations of
addition and scalar multiplication, consisting of the
principles of construction of linear equations, matrices,
determinants, vector surfaces, and linear transformations.
Linear algebra is a mathematical subject that deals with
vectors and matrices, and more generally with vector
surfaces and linear transformations. Unlike the other
components of arithmetic, which are often fueled by new
ideas and unsolved problems, linear algebra is very easy to
understand. Its value lies in its many applications from
mathematical physics to modern algebra and its use in
engineering and science along with image processing and
analysis.
Keywords :
Linear Algebra; Addition; Scalar; Multiplication; Linear Equations; Matrices; Determinants; Vector Spaces
Linear algebra is an initial part of mathematics.
It is a major branch of arithmetic related to the
mathematical systems underlying the operations of
addition and scalar multiplication, consisting of the
principles of construction of linear equations, matrices,
determinants, vector surfaces, and linear transformations.
Linear algebra is a mathematical subject that deals with
vectors and matrices, and more generally with vector
surfaces and linear transformations. Unlike the other
components of arithmetic, which are often fueled by new
ideas and unsolved problems, linear algebra is very easy to
understand. Its value lies in its many applications from
mathematical physics to modern algebra and its use in
engineering and science along with image processing and
analysis.
Keywords :
Linear Algebra; Addition; Scalar; Multiplication; Linear Equations; Matrices; Determinants; Vector Spaces
