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hw10.3. csr vs dense format consider a matrix of integers. there are nonzero entries, where and the rest of the entries are all 's. this matrix can be stored in two formats 1) dense representation: each entry uses bytes of storage. 2) csr format: each column index, data value and row start pointer uses bytes of storage. what is the largest value of (i.e. the largest number of nonzeros) for which storing in csr format is more memory efficient? largest n

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The Yale format, also known as compressed sparse row (CSR), compressed row storage (CRS), or another name for a matrix M by three  arrays, each of which contains nonzero values as well as information about the extents of rows and column indices.

What is CSR Sparse matrix?

  • Focused on rows.Column indices make up the array indices.Array of nonzero values with corresponding values in the data.In both indices and data, indptr points to row begins.A matrix M by three (one-dimensional) arrays that, respectively, contain nonzero values, the extents of rows, and column indices are represented by the compressed sparse row (CSR), compressed row storage (CRS), or Yale format.
  • The name comes from the fact that it compresses the row indices, unlike COO.Corporate social responsibility is a concept in management that encourages businesses to incorporate social and environmental issues into their everyday operations and relationships with stakeholders.
  • CSR is broken down into five main phases:Corporate Social Trusteeship (CST) is the first CSR, followed by Corporate Social Responsiveness (CSR), Corporate Business Ethics (CBE), Corporate Global Citizenship (CGC), and Toward a Millennial Future (CSR-5).

To learn more about Sparse matrix refer

https://brainly.com/question/15408280

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