It takes the average reader 3 hours and 32 minutes to read Parallel Algorithms for Matrix Computations by K. Gallivan
Assuming a reading speed of 250 words per minute. Learn more
Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to...
Parallel Algorithms for Matrix Computations by K. Gallivan is 207 pages long, and a total of 53,199 words.
This makes it 70% the length of the average book. It also has 65% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 50 minutes to read Parallel Algorithms for Matrix Computations aloud.
Parallel Algorithms for Matrix Computations is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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