Norms: L$1$ and L$2$

The

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L$1$ and

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$2$

L$2$ norms are mathematical concepts used to measure the size or length of vectors. They are often used in various applications, including machine learning, for regularization, error measurement, and more.

Definitions:

L$1$ Norm $($Manhattan Norm$)$:

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L$1$ norm of a vector is the sum of the absolute values of its components