(Perl Data Language) aims to turn perl into an efficient numerical language for scientific computing (similar to IDL and MatLab).
| Linfit.pm (PDL-2.074) | : | Linfit.pm (PDL-2.075) |
|---|
| | |
| skipping to change at line 75 | | skipping to change at line 75 |
|---|
| | |
| =for sig | | =for sig |
| | |
| Signature: (xdata(n); ydata(n); $fitFuncs(n,order); [o]yfit(n); [o]coeffs(orde
r)) | | Signature: (xdata(n); ydata(n); $fitFuncs(n,order); [o]yfit(n); [o]coeffs(orde
r)) |
| | |
| Uses a standard matrix inversion method to do a least | | Uses a standard matrix inversion method to do a least |
| squares/min chi^2 fit to data. | | squares/min chi^2 fit to data. |
| | |
| Returns the fitted data and optionally the coefficients. | | Returns the fitted data and optionally the coefficients. |
| | |
|
| One can thread over extra dimensions to do multiple fits (except | | One can broadcast over extra dimensions to do multiple fits (except |
| the order can not be threaded over - i.e. it must be one fixed | | the order can not be broadcasted over - i.e. it must be one fixed |
| set of fit functions C<fitFuncs>. | | set of fit functions C<fitFuncs>. |
| | |
| The data is normalised internally to avoid overflows (using the | | The data is normalised internally to avoid overflows (using the |
| mean of the abs value) which are common in large polynomial | | mean of the abs value) which are common in large polynomial |
| series but the returned fit, coeffs are in | | series but the returned fit, coeffs are in |
| unnormalised units. | | unnormalised units. |
| | |
| =for example | | =for example |
| | |
| # Generate data from a set of functions | | # Generate data from a set of functions |
| | | |
| End of changes. 1 change blocks. |
|---|
| 2 lines changed or deleted | | 2 lines changed or added |
|---|
"Fossies" - the Fresh Open Source Software Archive 