sparse matrix

Terms from Artificial Intelligence: humans at the heart of algorithms

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A matrix is called sparse if most of its entries are zero (or empty). Sparse matrices can be store efficiently by only recording the entroes with actual values. However, this can make algorithms to deal with sparse matrices more complicated.

Used on Chap. 8: page 164; Chap. 17: page 413

Also known as sparse matrices