Matrix Market exchange formats and Sparse matrix

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Matrix Market exchange formats and Sparse matrix

Matrix Market exchange formats vs. Sparse matrix

The Matrix Market exchange formats are a set of human readable, ASCII-based file formats designed to facilitate the exchange of matrix data. In numerical analysis and computer science, a sparse matrix or sparse array is a matrix in which most of the elements are zero.

Similarities between Matrix Market exchange formats and Sparse matrix

Matrix Market exchange formats and Sparse matrix have 4 things in common (in Unionpedia): Algorithm, Harwell-Boeing file format, Matrix (mathematics), Numerical analysis.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

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Harwell-Boeing file format

The Harwell-Boeing file format (also known as HB format) is a file format designed to store information used to describe sparse matrices.

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Matrix (mathematics)

In mathematics, a matrix (plural: matrices) is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns.

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Numerical analysis

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).

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The list above answers the following questions

What Matrix Market exchange formats and Sparse matrix have in common
What are the similarities between Matrix Market exchange formats and Sparse matrix

Matrix Market exchange formats and Sparse matrix Comparison

Matrix Market exchange formats has 9 relations, while Sparse matrix has 50. As they have in common 4, the Jaccard index is 6.78% = 4 / (9 + 50).

References

This article shows the relationship between Matrix Market exchange formats and Sparse matrix. To access each article from which the information was extracted, please visit:

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