DOIAbstract
AbstractMathematical software libraries represent collections of subprograms for the solution of frequently occurring numerical problems. The acceptance of mathematical software libraries strongly depends on the quality of their components, because the library routines are often used as building blocks in more complex computer codes. This approach can simplify code development and introduce know-how to the user's code. Results on the performance and accuracy of library subroutines from IMSL and NAG for matrix multiplication, solution of linear equations, and eigenvalue problems on a CRAY X-MP and an IBM 3081 are reported
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