Matlab Benchmark

i5 8500 16GB RAM 2666MHz	Windows 10		Matlab2017b

>> Benchmark
N = 10: SVD Chol QR 1000 mult Inv Pinv

TIME IN SECONDS (SIZE: 10):
SVD: 0.006900
Cholesky: 0.003403
QR: 0.004096
1000 matrix products: 0.001342
Inverse: 0.001815
Pseudo-inverse: 0.012549

N = 100: SVD Chol QR 100 mult Inv Pinv

TIME IN SECONDS (SIZE: 100):
SVD: 0.002967
Cholesky: 0.000129
QR: 0.004876
100 matrix products: 0.002841
Inverse: 0.006444
Pseudo-inverse: 0.004445

N = 1000: SVD Chol QR 100 mult Inv Pinv

TIME IN SECONDS (SIZE: 1000):
SVD: 0.189984
Cholesky: 0.002989
QR: 0.010672
100 matrix products: 1.060108
Inverse: 0.020723
Pseudo-inverse: 0.161511

N = 2500: SVD Chol QR 100 mult Inv Pinv

TIME IN SECONDS (SIZE: 2500):
SVD: 3.126060
Cholesky: 0.030753
QR: 0.125176
100 matrix products: 13.072351
Inverse: 0.319567
Pseudo-inverse: 4.100066

N = 5000: SVD Chol QR 100 mult Inv Pinv

TIME IN SECONDS (SIZE: 5000):
SVD: 3.570072
Cholesky: 0.205656
QR: 0.872508
100 matrix products: 98.824058
Inverse: 1.429677
Pseudo-inverse: 34.053440

N = 7500: SVD Chol QR 10 mult Inv Pinv

TIME IN SECONDS (SIZE: 7500):
SVD: 10.570091
Cholesky: 0.614692
QR: 2.761046
10 matrix products: 31.601638
Inverse: 4.401663
Pseudo-inverse: 109.687819

N = 10000: SVD Chol QR 10 mult Inv Pinv

TIME IN SECONDS (SIZE: 10000):
SVD: 24.765453
Cholesky: 1.410745
QR: 6.277991
10 matrix products: 73.606112
Inverse: 9.647528
Pseudo-inverse: 261.685938

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