RahulJyala7 · February 14, 2020 16:46
diff --git a/Vectors b/Vectors
 In mathematics, "sparse" and "dense" often refer to the number of zero vs. non-zero elements in an array (e.g. vector or matrix).
 ---> A sparse array is one that contains mostly zeros and few non-zero entries.
 ---> A dense array contains mostly non-zeros.


 here's no hard threshold for what counts as sparse; it's a loose term, but can be made more specific. 
 For example, a vector is k-sparse if it contains at most k non-zero entries. Another way of saying this is that the vector's ℓ0 norm is k.
 (https://en.wikipedia.org/wiki/Norm_(mathematics))
	In mathematics, "sparse" and "dense" often refer to the number of zero vs. non-zero elements in an array (e.g. vector or matrix).
	---> A sparse array is one that contains mostly zeros and few non-zero entries.
	---> A dense array contains mostly non-zeros.


	here's no hard threshold for what counts as sparse; it's a loose term, but can be made more specific.
	For example, a vector is k-sparse if it contains at most k non-zero entries. Another way of saying this is that the vector's ℓ0 norm is k.
	(https://en.wikipedia.org/wiki/Norm_(mathematics))
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