search for: 220x220

...ec): 1.75 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 0.924125732935107 II. Matrix functions -------------------- FFT over 900,000 random values______________________ (sec): 1.53666666666667 Eigenvalues of a 220x220 random matrix______________ (sec): 0.466666666666669 Determinant of a 750x750 random matrix______________ (sec): 1.65 Cholesky decomposition of a 1000x1000 matrix________ (sec): 1.30333333333334 Inverse of a 500x500 random matrix__________________ (sec): 1.76000000000000 ----...

...50x1250 normal distributed random matrix ^1000, 3 = Sorting of 1,100,000 random values, 4 = 550x550 cross-product matrix (b = a' * a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = G...

...50x1250 normal distributed random matrix ^1000, 3 = Sorting of 1,100,000 random values, 4 = 550x550 cross-product matrix (b = a' * a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = G...

...50x1250 normal distributed random matrix ^1000, 3 = Sorting of 1,100,000 random values, 4 = 550x550 cross-product matrix (b = a' * a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = G...

Hello, Thanks to Douglas Bates, there is now a new benchmark suite (version 2.3) which is compatible with R 1.9.0 and the recent Matrix library (0.8-1 or above). You find it at http://www.sciviews.org/other/benchmark.htm. It compares R 1.9.0 under Windows with: S-PLUS 6.5, Matlab 6.0, O-Matrix 5.6, Octave 2.1.42, Scilab 2.7 and Ox 3.30. In short, R in its version 1.9.0 and with the new Matrix