In the previous chapter, we have introduced the basic and somewhat abstract concepts of linear algebra based on the definition of linear vector spaces and their properties. Here, we introduce the practical side of linear algebra used in many of its real‐life applications. We first discuss linear systems with images equations and images unknowns in detail. We then introduce row echelon forms, row, column and null spaces, and rank and nullity of matrices. Linear independence, basis vectors, linear transformations and their representations are among the other topics we discuss. Finally, we introduce some of the frequently used numerical methods of linear algebra, where partial pivoting, LU‐factorization, interpolation, and numerical methods of finding solutions are among the topics covered.


In general, a linear system with images equations and images unknowns images is written as

We can interpret this system as planes in dimensional real space ...

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