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