English Language Learners Definition of sparse. : present only in small amounts : less than necessary or normal especially : thinly covering an area : not thick or full. See the full definition for sparse in the English Language Learners Dictionary.

sparse. (spärs) adj. spars·er, spars·est. Occurring, growing, or settled at widely spaced intervals; not thick or dense. [Latin sparsus, past participle of spargere, to scatter .]

Sparse definition, thinly scattered or distributed: a sparse population. See more.

26/12/2019 · Create a sparse index on the age of the customers collection by adding {sparse: true} db.customers.createIndex ( { age: 1 }, { sparse: true } ); This query will use the sparse index because the criteria in the query goes well with the sparse index. We only want to return customers whose age is greater than 21, if the customer doens’t have age ...

In computer science, a sparse file is a type of computer file that attempts to use file system space more efficiently when the file itself is partially empty.

31/05/2018 · Typically, sparse data means that there are many gaps present in the data being recorded. For example, in the case of the sensor mentioned above, the sensor may send a signal only when the state changes, like when there is a movement of the door in a room.

08/09/2020 · A sparse matrix is one with a large number of zero entries. A more practical definition is that a matrix is sparse if the number or distribution of the zero entries makes it worthwhile to avoid storing or operating on the zero entries. Sparsity is not to be confused with data sparsity, which refers to the situation where, because of redundancy, the ...

A sparse array is an array of data in which many elements have a value of zero. This is in contrast to a dense array, where most of the elements have non-zero values or are “full” of numbers. A sparse array may be treated differently than a dense array in digital data handling. Advertisement.

Sparse matrices are those matrices that have the majority of their elements equal to zero. In other words, the sparse matrix can be defined as the matrix that has a greater number of zero elements than the non-zero elements. Now, the question arises: we can also use the simple matrix to store the elements, then why is the sparse matrix required?