Also updated for Matlab 2015a (64 bit) released on March 5, Updated the test for the now released Maple 2015 (which would have been Maple 19) but There was no noticeable change in Maple’s speed in this test between 2015 and MapleĤ Test on Mausing Matlab 2015a (64 bit), Maple 2015 (64 bit) and Mathematica Version for smaller size matrices, and then switches to different algorithm for larger This seems to indicate that Mathematica internally uses the same algorithm as previous This is 3 times as fast for essentially the same matrix size. Same as in 10.0.2, but by increasing the matrix size to \(n=2501\), CPU time went down to about 1.4 For \(n=2500\) Mathematica CPU was around 4.6 seconds which is the At matrix size over 2500, even by just one, aĭramatic speed increase was seen. Same speed was obtained as with version 10.0.2. The speed boost was observed to occur at certain matrix size. It seems Mathematicaġ0.1 is using different algorithm to compute the rank now to account for this drastic difference in Mathematica 10.1 was surprisingly much faster on this test than 10.0.2. This is the time to find the rank for different matrix sizes (lower Hardware used for this test is exactly the same as last time, and no changes made in the tests No changes were made to Matlab version or to the PC usedįrom the last test and hence the Matlab test results were carried over from the last
#Mathematica vs matlab update
This test was run again for the new release of Mathematica 10.1 and a minor update for More information on this can be found here cpu-timing-for-matrix-rank-calculation-difference-between-10-3-and-10-4-and-11-0 3 Test on Jusing Matlab 2015a (64 bit), Maple 2015.1 (64 bit) and Mathematica
#Mathematica vs matlab software
This issue seems to be due to the intel MKL version that the software is linked Mathematica 11 score in this test went down from earlier test, while Maple and Matlab score
#Mathematica vs matlab 64 Bit
GB RAM, running 64 bit Windows 7 home premium OS.Ģ Test on Sept. Was not used as not to affect the test and no other programs were running. This is an informal test comparing speed of Matlab, Mathematica and Maple on one commonĬomputational problem which is finding the rank of a square matrix.įor each \(N \times N\) matrix, \(5\) tests were run and the average value used. Matlab 2016a (64 bit), Maple 2016.1 (64ģ Test on Jusing Matlab 2015a (64 bit), Maple 2015.1Ĥ Test on Mausing Matlab 2015a (64 bit), MapleĢ015 (64 bit) and Mathematica 10.02 (64 bit)ĥ Test on Jusing Matlab 2013a (32 bit), Maple 18.01Ħ Test on Mausing Matlab 2013a, Maple 17 andħ Test done in 2010 using current version of software at that time
0 kommentar(er)
