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#numericallinearalgebra

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One of many very good talks was given by Paolo Bientinesi from Umeå. He looked at how high level languages like Python, Julia or R make use of the excellent software ecosystem for #NumericalLinearAlgebra, given by LAPACK, BLAS and so on.

A simple test shows that they will execute the matrix product A*B*C always from the left and not choose order from the dimension (but Julia will fix this soon). Why is that bad?

At the Nordic Numerical Linear Algebra workshop, this year in Odense, Denmark. The second keynote by Alex Townsend from Cornell University via zoom. Worked very well, and was sustainable.

He says that you don't meet the Kahan matrix in a dark alley. Or otherwise put: Many worst case estimates are not representative of what happens in practice.

Also a very nice presentation of methods to compute the numerical rank of matrices.

#NordicNLA
#NumericalLinearAlgebra