LU Decomposition vs. Cholesky Decomposition

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What is the difference between LU Decomposition and Cholesky Decomposition about using these methods to solving linear equation systems?

Could you explain the difference with a simple example?

Also could you explain the differences between these decomposition methods in:

  • inverse of a matrix
  • forward and backward substitution
  • pivoting