Projects made for the Matrix Calculus and Multivatiate Statistics course at the AGH UST in 2024 by 2 students (me and cypneu). All provided algorithms are from scratch as a result of our work after hours. Given tasks were intended to teach us how to apply mathematical solutions in Machine Learning in order to obtain faster and more efficient code performance.

• traditional matrix multiplication
  
• recursive Strassen algorithm
  

• Gauss elimination algorithm without pivoting
  
• Gauss elimination algorithm with pivoting
  
• LU factorization algorithm without pivoting
  
• LU factorization algorithm with pivoting
  

• matrix norm ||M||1
  
• matrix conditioning coefficient ||M||1
  
• matrix norm ||M||2
  
• matrix conditioning coefficient ||M||2
  
• matrix norm ||M||p
  
• matrix conditioning coefficient ||M||p
  
• matrix norm ||M||∞
  
• matrix conditioning coefficient ||M||∞
  
• SVD of matrix M
  

• Python
  
• Latex