Linear Algebra covers linear equations, linear maps, matrices and vectors.

It’s really important in quant and similar areas as we deal a lot with those, especially matrices.

It’s also a pre-requisite for numerical analysis which we will cover in a later post.

In the previous article we covered calculus, the main storyline of mathematics.

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## Table of Content

Vectors and Matrices

Determinants

Systems of Linear Equations

Linear Independence

Linear Maps

Eigenvalues and Eigenvectors

Dot Product and Norms

Singular Value Decomposition and Moore-Penrose Inverse

Derivatives

Final Remarks