WebApr 1, 2005 · Our implementation of the scaling and squaring method always requires at least two fewer matrix multiplications than {\tt expm} when the matrix norm exceeds 1, which can amount to a 37% saving in the number of multiplications, and it is typically more accurate, owing to the fewer required squarings. Webtherefore the matrix scaling needed decreases with m, saving matrix multiplications in the squaring phase. Next we determine the cost of evaluating Tm(A) in terms of matrix products. The method developed by Paterson-Stockmeyer [Loa79, PS73] allows the e–cient computation of polynomial matrix functions. This method generalizes the Horner
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WebHigham , The scaling and squaring method for the matrix exponential revisited, SIAM Rev., 51 ( 2009), pp. 747 -- 764 . Link ISI Google Scholar. 24. C. S. Kenney and A. J. Laub , A Schur--Fréchet algorithm for computing the logarithm and exponential of a matrix, SIAM J. Matrix Anal. Appl., 19 ( 1998), pp. 640 -- 663 . Link ISI ... WebThe scaling and squaring method for the matrix exponential is based on the approximation e A ≈ ( r m ( 2 − s A)) 2 s, where r m ( x) is the [ m / m] Padé approximant to e x and the … diy dry shampoo for oily hair
The Scaling and Squaring Method for the Matrix Exponential Revisited …
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