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HP50G : TRN vs TRAN - Gil - 11-16-2019 11:49 AM
What is the difference between TRN and TRAN transpose-commands on the HP50G? Thanks for your clues. Regards, Gil RE: HP50G : TRN vs TRAN - grsbanks - 11-16-2019 12:59 PM
Both return the transpose of a matrix when dealing with real numbers. When dealing with complex matrices, TRAN just return the transpose whereas TRN returns the conjugate transpose. See pages 3-255 and 3-258 of the AUR. RE: HP50G : TRN vs TRAN - Dave Britten - 11-16-2019 01:07 PM
(11-16-2019 12:59 PM)grsbanks Wrote: Both return the transpose of a matrix when dealing with real numbers. Strange that they didn't label it CTRN or something. RE: HP50G : TRN vs TRAN - Werner - 11-16-2019 01:49 PM
(11-16-2019 01:07 PM)Dave Britten Wrote: Strange that they didn't label it CTRN or something. HERM, then Cheers, Werner RE: HP50G : TRN vs TRAN - Valentin Albillo - 11-16-2019 06:17 PM
(11-16-2019 01:07 PM)Dave Britten Wrote: Strange that they didn't label it CTRN or something. Perhaps it has to do with the fact that originally all matrix operations were directly taken from the ones already implemented in Saturn assembly language for the HP-71B Math ROM and there the conjugate transpose was named TRN. Also, for complex matrices the conjugate transpose is by far the most useful operation as compared with just the transpose alone, which almost never appears in any algorithm or real-life application. V. RE: HP50G : TRN vs TRAN - Gil - 11-16-2019 07:01 PM
Thanks. I have got only the books for the HP48. Lost the reference books relative to the HP50G? Regards and thanks. Gil RE: HP50G : TRN vs TRAN - Gil - 11-16-2019 07:12 PM
Strange that the instruction TRN, which includes the conjugate-operation, is from 5 to 10% faster than the "simpler" TRAN command. RE: HP50G : TRN vs TRAN - Gene - 11-17-2019 12:43 AM
Download the 50g AUR here: 50g AUR RE: HP50G : TRN vs TRAN - Gil - 05-09-2021 10:35 PM
Say X is the following Matrix: [[ 1 6.35676254625 ] [ 1 6.35675231425 ] [ 1 6.3567482106 ] [ 1 6.3567338557 ]], without dots (.) after the ones. Try a): X TRAN X * You get [[ 4 25.4269969268 ] [ 25.4269969268 161.633043179 ]] (no dot after the 4). Now try b): X TRN X You get apparently the same result: [[ 4. 25.4269969268 ] [ 25.4269969268 161.633043179 ]] (but with a dot after the 4 => approximate mode). Now try a2) : X TRAN X * INV YOU get [[ 321639766412. -50598152402.8 ] [ -50761421319.8 7985437126.68 ]] Now try b2) : X TRN X * INV YOU get [[ 322677625975. -50761421319.8 ] [ -50761421319.8 7985437126.68 ]] } The result are quite different. Above all for the final result if I work for a regression, where Beta = [(X'X)^(-1)X']Y, where Y= [[ 20.0039363988 ] [ 20.0039203398 ] [ 20.0039138995 ] [ 20.0039080362 ]]. I am somewhat puzzled in the choice between TRN and TRAN when calculating for the beta values. |