Topic: Matrices. Operations, Gauss-Jordan Elimination, Inverse Matrices

When: Friday, March 5 @ 11:00am

Who: Professor Dan Balaguy

Where: Canvas (https://sierra.instructure.com/courses/347458)

A matrix (plural matrices) is a rectangular array or table of numbers, symbols, or expressions, arranged in rows and columns.[1][2] For example, the dimension of the matrix below is 2 × 3 (read "two by three"), because there are two rows and three columns:

$$\begin{bmatrix} 1 & 9 & -13 \\ 20& 5& -6 \end{bmatrix}$$

A major branch of numerical analysis is devoted to the development of efficient algorithms for matrix computations, a subject that is centuries old and is today an expanding area of research. Matrix decomposition methods simplify computations, both theoretically and practically.