Sparse: Difference between revisions

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Latest revision as of 13:10, 18 March 2025

Sparse is a term used in various fields of study, including mathematics, computer science, and medicine. In a general sense, it refers to something that is thinly dispersed or scattered. In a more specific context, it can refer to a data structure or matrix that is mostly empty or filled with zero values.

Mathematics[edit]

In mathematics, a sparse matrix is a matrix in which most of the elements are zero. This is in contrast to a dense matrix, where most of the elements are non-zero. Sparse matrices are often used in numerical analysis, as they can be more computationally efficient to work with than dense matrices.

Computer Science[edit]

In computer science, a sparse data structure is one in which most of the elements are empty or have a default value. This can be useful in situations where the data being stored is sparse, as it can save on storage space and improve performance.

Medicine[edit]

In medicine, the term sparse can be used to describe a condition or symptom that is not widespread or common. For example, sparse hair refers to a lack of hair growth, which can be a symptom of various medical conditions.

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