Home > hit > hit_compute_disc_modes.m

hit_compute_disc_modes

PURPOSE ^

HIT_COMPUTE_DISC_MODES Estimate the mode PVs in discontinuous PWA models

SYNOPSIS ^

function [final_models,final_Variances,Weight_primal]=hit_compute_disc_modes(F,ndata,weig)

DESCRIPTION ^

HIT_COMPUTE_DISC_MODES Estimate the mode PVs in discontinuous PWA models 

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 DESCRIPTION
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 [final_models,final_Variances,final_Variances_denormaliz,Weight_primal]=...
 hit_compute_disc_modes(F,ndata,weig)

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 INPUT
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 F: structure containing information about the mode datasets, see
 hit_regression.m
 ndata: total number of datapoints.
 weigh(i): weight of the i-th datapoint used in weighted LS for estimating
 the mode PVs.
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 OUTPUT                                                                                                   
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 final_models(i,:) estimted PV of the i-th mode. 
 final_Variances{i}: variance of the i-th mode PV.
 Weight_primal(i): if present returns the weight associated to the i-th
 datapoint that should be used in building LDs. This is an experimental
 feature currently not used for building LDs.

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:
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