They implemented numerous numerical algorithms including the Sch�nhage Strassen algorithm on this machine.
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A more efficient multiplication algorithm is the Sch�nhage Strassen algorithm, which is based on the Fast Fourier transform.
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The Strassen algorithm outperforms this " naive " algorithm; it needs only " n " 2.807 multiplications.
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They in turn are applied in digital filters and as a rapid multiplication algorithm for polynomials and large integers ( Sch�nhage-Strassen algorithm ).
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The number of additions and multiplications required in the Strassen algorithm can be calculated as follows : let be the number of operations for a matrix.
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Modern algorithmic techniques based on the Sch�nhage Strassen algorithm for fast integer multiplication can be used to speed this up, leading to quasilinear algorithms for the GCD.
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In linear algebra, the "'Strassen algorithm "', named after Volker Strassen, is an the fastest known algorithms for extremely large matrices.
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Solving such a linear system is not practical due to extremely high time complexity of solving a linear system by the means of Gaussian Elimination or even Strassen algorithm.
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An example is the Strassen algorithm for fast matrix multiplication, as well as the Hamming ( 7, 4 ) encoding for error detection and recovery in data transmissions.
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In practice the Sch�nhage Strassen algorithm starts to outperform older methods such as Karatsuba and Toom Cook multiplication for numbers beyond 2 2 15 to 2 2 17 ( 10, 000 to 40, 000 decimal digits ).