| 1 | //# Lorentzian1D2.cc: One dimensional Lorentzian class specialized for AutoDiff |
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| 2 | //# Copyright (C) 2001,2002 |
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| 3 | //# Associated Universities, Inc. Washington DC, USA. |
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| 4 | //# |
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| 5 | //# This library is free software; you can redistribute it and/or modify it |
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| 6 | //# under the terms of the GNU Library General Public License as published by |
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| 7 | //# the Free Software Foundation; either version 2 of the License, or (at your |
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| 8 | //# option) any later version. |
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| 9 | //# |
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| 10 | //# This library is distributed in the hope that it will be useful, but WITHOUT |
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| 11 | //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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| 12 | //# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Library General Public |
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| 13 | //# License for more details. |
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| 14 | //# |
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| 15 | //# You should have received a copy of the GNU Library General Public License |
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| 16 | //# along with this library; if not, write to the Free Software Foundation, |
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| 17 | //# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA. |
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| 18 | //# |
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| 19 | //# Correspondence concerning AIPS++ should be addressed as follows: |
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| 20 | //# Internet email: aips2-request@nrao.edu. |
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| 21 | //# Postal address: AIPS++ Project Office |
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| 22 | //# National Radio Astronomy Observatory |
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| 23 | //# 520 Edgemont Road |
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| 24 | //# Charlottesville, VA 22903-2475 USA |
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| 25 | //# |
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| 26 | //# $Id: Lorentzian1D2.tcc 20253 2008-02-23 15:15:00Z gervandiepen $ |
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| 27 | |
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| 28 | //# Includes |
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| 29 | #include "Lorentzian1D.h" |
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| 30 | #include <casa/BasicMath/Math.h> |
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| 31 | |
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| 32 | namespace casa { //# NAMESPACE CASA - BEGIN |
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| 33 | |
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| 34 | //# Constructors |
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| 35 | |
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| 36 | //# Operators |
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| 37 | template<class T> |
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| 38 | AutoDiff<T> Lorentzian1D<AutoDiff<T> >:: |
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| 39 | eval(typename Function<AutoDiff<T> >::FunctionArg x) const { |
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| 40 | AutoDiff<T> tmp; |
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| 41 | if (this->param_p[this->HEIGHT].nDerivatives() > 0) tmp = this->param_p[this->HEIGHT]; |
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| 42 | else if (this->param_p[this->CENTER].nDerivatives() > 0) tmp = this->param_p[this->CENTER]; |
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| 43 | else if (this->param_p[this->WIDTH].nDerivatives() > 0) tmp = this->param_p[this->WIDTH]; |
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| 44 | T x_norm = (x[0] - this->param_p[this->CENTER].value())/ |
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| 45 | this->param_p[this->WIDTH].value()/this->fwhm2int.value(); |
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| 46 | T exponential = T(1.0)/(T(1.0) + x_norm*x_norm); |
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| 47 | // function value |
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| 48 | tmp.value() = this->param_p[this->HEIGHT].value() * exponential; |
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| 49 | // get derivatives (assuming either all or none) |
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| 50 | if (tmp.nDerivatives()>0) { |
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| 51 | for (uInt j=0; j<tmp.nDerivatives(); j++) tmp.deriv(j) = 0.0; |
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| 52 | // derivative wrt height |
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| 53 | T dev = exponential; |
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| 54 | if (this->param_p.mask(this->HEIGHT)) tmp.deriv(this->HEIGHT) = dev; |
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| 55 | // derivative wrt center |
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| 56 | T dev2 = this->param_p[this->HEIGHT].value()*dev*dev*T(2.0)*x_norm/ |
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| 57 | this->param_p[this->WIDTH].value(); |
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| 58 | if (this->param_p.mask(this->CENTER)) tmp.deriv(this->CENTER) = dev2/this->fwhm2int.value(); |
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| 59 | // derivative wrt width |
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| 60 | if (this->param_p.mask(this->WIDTH)) tmp.deriv(this->WIDTH) = dev2*x_norm; |
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| 61 | } |
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| 62 | return tmp; |
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| 63 | } |
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| 64 | |
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| 65 | //# Member functions |
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| 66 | |
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| 67 | } //# NAMESPACE CASA - END |
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| 68 | |
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