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Benchmark 2

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Dec 11th, 2019
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  1. Matlab 2019b win 10 i5 8500 16GB ram 2666MHz
  2. >> Benchmark
  3. N = 10: SVD Chol QR 1000 mult Inv Pinv
  4.  
  5. TIME IN SECONDS (SIZE: 10):
  6. SVD: 0.009802
  7. Cholesky: 0.000172
  8. QR: 0.000129
  9. 1000 matrix products: 0.001101
  10. Inverse: 0.000329
  11. Pseudo-inverse: 0.008092
  12.  
  13. N = 100: SVD Chol QR 100 mult Inv Pinv
  14.  
  15. TIME IN SECONDS (SIZE: 100):
  16. SVD: 0.000731
  17. Cholesky: 0.000172
  18. QR: 0.000454
  19. 100 matrix products: 0.002960
  20. Inverse: 0.012824
  21. Pseudo-inverse: 0.002195
  22.  
  23. N = 1000: SVD Chol QR 100 mult Inv Pinv
  24.  
  25. TIME IN SECONDS (SIZE: 1000):
  26. SVD: 0.128660
  27. Cholesky: 0.003089
  28. QR: 0.014454
  29. 100 matrix products: 0.903289
  30. Inverse: 0.022473
  31. Pseudo-inverse: 0.175336
  32.  
  33. N = 2500: SVD Chol QR 100 mult Inv Pinv
  34.  
  35. TIME IN SECONDS (SIZE: 2500):
  36. SVD: 3.305412
  37. Cholesky: 0.023586
  38. QR: 0.144226
  39. 100 matrix products: 11.640065
  40. Inverse: 0.232784
  41. Pseudo-inverse: 4.300917
  42.  
  43. N = 5000: SVD Chol QR 100 mult Inv Pinv
  44.  
  45. TIME IN SECONDS (SIZE: 5000):
  46. SVD: 26.999056
  47. Cholesky: 0.196516
  48. QR: 0.844777
  49. 100 matrix products: 93.748679
  50. Inverse: 1.636448
  51. Pseudo-inverse: 33.466810
  52.  
  53. N = 7500: SVD Chol QR 10 mult Inv Pinv
  54.  
  55. TIME IN SECONDS (SIZE: 7500):
  56. SVD: 90.803867
  57. Cholesky: 0.599276
  58. QR: 2.824497
  59. 10 matrix products: 30.136638
  60. Inverse: 4.369516
  61. Pseudo-inverse: 107.763946
  62.  
  63. N = 10000: SVD Chol QR 10 mult Inv Pinv
  64.  
  65. TIME IN SECONDS (SIZE: 10000):
  66. SVD: 214.491368
  67. Cholesky: 1.340919
  68. QR: 5.950868
  69. 10 matrix products: 72.356948
  70. Inverse: 9.615133
  71. Pseudo-inverse: 255.714987
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