| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/linefit/ |
| H A D | linefit.cpp | 149 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
167 if (inputVectorX->length() < 1) { in algorithm()
175 double const * vX_in = inputVectorX->noNanValue(); in algorithm()
182 vX_out[1] = vX_in[inputVectorX->length() - 1]; in algorithm()
191 xScale = inputVectorX->length()/inputVectorY->length(); in algorithm()
205 sxoss = sx / inputVectorX->length(); in algorithm()
207 for (i = 0; i < inputVectorX->length(); ++i) { in algorithm()
214 a = (sy - sx*b)/inputVectorX->length(); in algorithm()
219 vX_out[1] = vX_in[inputVectorX->length()-1]; in algorithm()
223 for (i = 0; i < inputVectorX->length(); ++i) { in algorithm()
[all …]
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/effectivebandwidth/ |
| H A D | effectivebandwidth.cpp | 191 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
202 if (inputVectorX->length() < 1) { in algorithm()
208 if (inputVectorX->length() != inputVectorY->length()) { in algorithm()
224 i_top = inputVectorX->length() - 1; in algorithm()
228 if (minWhiteNoiseFreq < inputVectorX->value()[i0]) { in algorithm()
237 if ( !(minWhiteNoiseIndex>0) || !(minWhiteNoiseIndex<(inputVectorX->length()-1)) ) { in algorithm()
249 for (i = minWhiteNoiseIndex; i < inputVectorX->length(); i++) { in algorithm()
256 ybar = sumY/(inputVectorX->length() - minWhiteNoiseIndex); in algorithm()
257 …gma = sqrt((sumY2 - 2*ybar*sumY + pow(ybar,2)*(inputVectorX->length() - minWhiteNoiseIndex))/(inpu… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/kneefrequency/ |
| H A D | fitkneefrequency.cpp | 205 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
215 if (inputVectorX->length() != inputVectorY->length()) { in algorithm()
219 if (inputVectorX->length() < 1) { in algorithm()
224 int inArraysLength = inputVectorX->length(); in algorithm()
246 if (maxOneOverFFreq < inputVectorX->value()[i0]) { in algorithm()
260 if (minWhiteNoiseFreq < inputVectorX->value()[i0]) { in algorithm()
294 xi = inputVectorX->value()[i]; in algorithm()
317 outputVectorYFitted->raw_V_ptr()[i] = b * pow(inputVectorX->value()[i],a) + ybar; in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/syncbin/ |
| H A D | syncbin.cpp | 200 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
218 if (inputVectorX->length() < 1) { in algorithm()
222 if (inputVectorX->length() != inputVectorY->length()) { in algorithm()
239 n_in = int( inputVectorX->length() ); in algorithm()
240 const double *Xin = inputVectorX->value(); in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/exponential_unweighted/ |
| H A D | fitexponential_unweighted.cpp | 305 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
316 _X0 = inputVectorX->noNanValue()[0]; in algorithm()
327 bReturn = kstfit_nonlinear( inputVectorX, inputVectorY, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/exponential_weighted/ |
| H A D | fitexponential_weighted.cpp | 321 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
333 _X0 = inputVectorX->noNanValue()[0]; in algorithm()
345 bReturn = kstfit_nonlinear_weighted( inputVectorX, inputVectorY, inputVectorWeights, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/interpolations/akima/ |
| H A D | akima.cpp | 155 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
160 return interpolate( inputVectorX, inputVectorY, inputVectorX1, outputVector, gsl_interp_akima); in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/interpolations/cspline/ |
| H A D | cspline.cpp | 155 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
160 return interpolate( inputVectorX, inputVectorY, inputVectorX1, outputVector, gsl_interp_cspline); in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/interpolations/csplineperiodic/ |
| H A D | csplineperiodic.cpp | 155 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
160 …return interpolate( inputVectorX, inputVectorY, inputVectorX1, outputVector, gsl_interp_cspline_pe… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/interpolations/polynomial/ |
| H A D | polynomial.cpp | 155 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
160 …return interpolate( inputVectorX, inputVectorY, inputVectorX1, outputVector, gsl_interp_polynomial… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/interpolations/akimaperiodic/ |
| H A D | akimaperiodic.cpp | 155 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
160 …return interpolate( inputVectorX, inputVectorY, inputVectorX1, outputVector, gsl_interp_akima_peri… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/dataobject/interpolations/linear/ |
| H A D | linear.cpp | 155 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
160 return interpolate( inputVectorX, inputVectorY, inputVectorX1, outputVector, gsl_interp_linear); in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/gradient_unweighted/ |
| H A D | fitgradient_unweighted.cpp | 165 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
200 …if( precursor( inputVectorX, inputVectorY, 0, &iLength, false, true, 2, pInputs, outputVectorYFitt… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/linear_unweighted/ |
| H A D | fitlinear_unweighted.cpp | 165 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
202 …if( precursor( inputVectorX, inputVectorY, 0, &iLength, false, true, 2, pInputs, outputVectorYFitt… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/lorentzian_unweighted/ |
| H A D | fitlorentzian_unweighted.cpp | 252 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
271 bReturn = kstfit_nonlinear( inputVectorX, inputVectorY, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/polynomial_unweighted/ |
| H A D | fitpolynomial_unweighted.cpp | 187 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
210 bReturn = kstfit_linear_unweighted( inputVectorX, inputVectorY, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/linear_weighted/ |
| H A D | fitlinear_weighted.cpp | 181 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
219 …if( precursor( inputVectorX, inputVectorY, inputVectorWeights, &iLength, true, true, 2, pInputs, o… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/sinusoid_unweighted/ |
| H A D | fitsinusoid_unweighted.cpp | 210 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
237 bReturn = kstfit_linear_unweighted( inputVectorX, inputVectorY, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/gradient_weighted/ |
| H A D | fitgradient_weighted.cpp | 181 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
217 …if( precursor( inputVectorX, inputVectorY, inputVectorWeights, &iLength, true, true, 2, pInputs, o… in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/lorentzian_weighted/ |
| H A D | fitlorentzian_weighted.cpp | 225 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
245 bReturn = kstfit_nonlinear_weighted( inputVectorX, inputVectorY, inputVectorWeights, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/polynomial_weighted/ |
| H A D | fitpolynomial_weighted.cpp | 202 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
226 bReturn = kstfit_linear_weighted( inputVectorX, inputVectorY, inputVectorWeights, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/sinusoid_weighted/ |
| H A D | fitsinusoid_weighted.cpp | 225 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
254 bReturn = kstfit_linear_weighted( inputVectorX, inputVectorY, inputVectorWeights, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/gaussian_unweighted/ |
| H A D | fitgaussian_unweighted.cpp | 302 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
333 bReturn = kstfit_nonlinear( inputVectorX, inputVectorY, in algorithm()
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| /dports/science/kst2/kst-plot-38eddb5322a1d557f9d86ea95d456d76272941e3/src/plugins/fits/gaussian_weighted/ |
| H A D | fitgaussian_weighted.cpp | 318 Kst::VectorPtr inputVectorX = _inputVectors[VECTOR_IN_X]; in algorithm() local
351 bReturn = kstfit_nonlinear_weighted( inputVectorX, inputVectorY, inputVectorWeights, in algorithm()
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