Pinv function returns different results compared with excel results
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I have a matrix and when I compute pinv function it returns a matrix which is different from excel results. I ve computed in excel with the formula pinv(A)=mmult(minverse(mmult(transpose(A),A)),transpose(A)) and it doesn't get me the same result. If someone can help me, I thank you in advance. I have a matrix A with 30 rows and 2 columns -503.53 -2239.87 -361.13 1601.04 -434.69 1933.57 -362.25 1606.48 -501.17 2218.78 -291.61 1284.09 -433.47 1921.17 -292.97 1292.78 -490.61 1890.80 -25.70 88.40 -422.84 1629.40 -26.83 93.80 -490.44 1887.40 42.14 -172.40 -422.81 1625.89 41.67 -169.74 -486.67 1979.66 325.03 -1334.26 -418.93 1703.06 324.11 -1327.47 -486.71 1976.08 392.26 -1603.51 -419.46 1702.87 390.45 -1595.21 -42.10 165.92 -369.57 1528.21 24.53 -110.26 -369.67 1527.57 -39.55 156.55 -303.70 1250.98 The pinv function from Matlab returns me the following matrix: first row 0.003114728 0.002116943 0.002686996 0.002133685 0.002868898 0.001518693 0.002527754 0.001584389 -0.003327449 -0.000406287 -0.002872429 -0.000391885 -0.003385408 6.80645E-05 -0.002945935 8.30031E-05 -0.001029962 0.000424029 -0.000909924 0.000488211 -0.001112603 0.000658725 -0.000962154 0.000674883 -0.000205195 -0.000239227 -0.000176264 -0.000262179 -0.000178534 -0.00030255 second row 0.000781338 0.000532217 0.000674059 0.000536318 0.000721997 0.000383836 0.000635639 0.00039974 -0.000770693 -9.62316E-05 -0.000665345 -9.2693E-05 -0.00078466 1.37668E-05 -0.000683047 1.73935E-05 -0.000217721 8.18759E-05 -0.000193032 9.73881E-05 -0.000237618 0.000134205 -0.000205576 0.000138209 -4.67899E-05 -3.46057E-05 -4.39698E-05 -4.01262E-05 -4.0528E-05 -5.39524E-05 and the resulting matrix from excel is: first row -0.000949 -0.000030 -0.000035 -0.000030 -0.000042 -0.000026 -0.000036 -0.000026 -0.000099 -0.000007 -0.000085 -0.000007 -0.000099 0.000006 -0.000086 0.000007 -0.000077 0.000049 -0.000066 0.000049 -0.000077 0.000060 -0.000067 0.000060 -0.000008 -0.000053 0.000002 -0.000053 -0.000007 -0.000045 second row -0.000229 0.000018 0.000022 0.000018 0.000024 0.000014 0.000021 0.000014 0.000008 0.000000 0.000007 0.000000 0.000008 -0.000001 0.000007 -0.000001 0.000014 -0.000010 0.000012 -0.000010 0.000014 -0.000012 0.000012 -0.000011 0.000001 0.000012 -0.000001 0.000012 0.000001 0.000009 They are very different and I don't know why is this happening
1 comentario
Geoff Hayes
el 14 de Oct. de 2015
Loghin - how different are the results between the two algorithms? Please provide some details and include an example.
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