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• W569613908 abstract "In computer programming, a matrix can be defined with a two-dimensional array. A sparse matrix can be represented by using tow representations, such as triplet representation and linked representation. Performing algorithmic computations (like matrix multiplication) takes up a lot of unnecessary time for each zero computation. Anything multiplied by zero is zero, but this operation still has to be performed which is seen as a waste of computational time. Every element of a program array takes up memory and a sparse matrix can end up taking unnecessary amounts of memory space. Sparse matrices are a common occurrence in Machine Learning algorithms. Sometimes, machine learning study areas require the development of specialized methods to address sparse matrices as input data." @default.
• W569613908 created "2016-06-24" @default.
• W569613908 creator A5007576078 @default.
• W569613908 creator A5040154585 @default.
• W569613908 date "2021-01-14" @default.
• W569613908 modified "2023-09-24" @default.
• W569613908 title "Sparse Matrix" @default.
• W569613908 doi "https://doi.org/10.1002/9781119752059.ch3" @default.
• W569613908 hasPublicationYear "2021" @default.
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