Home > hit > hit_compute_cont_modes.m

hit_compute_cont_modes

PURPOSE ^

HIT_COMPUTE_CONT_MODES Estimate the mode PVs in continuous PWA models

SYNOPSIS ^

function [final_models_cont]=hit_compute_cont_modes(F,ndata,s,weig,adjacences,adjacences_hyp)

DESCRIPTION ^

HIT_COMPUTE_CONT_MODES Estimate the mode PVs in continuous PWA models 

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 DESCRIPTION
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 [final_models_cont]=...
 hit_compute_cont_modes(F,ndata,s,weig,adjacences,adjacences_hyp)
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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.
 s: number of modes to find.
 weig(i): weight of the i-th datapoint used in weighted LS for estimating
 the mode PVs.
 adjacences: each row is a pair (i,j), i<j indicating that the regions i
 and j are adjacent The constraint i<j avoids storing both pairs (i,j) and
 (j,i).
 adjacences_hyp: each row contains the vector [w b] of the hyperplane
 separating region i from region j (the regions are stored in the
 corresponding row of adjacences) according to the formula [w b]*[x,1]'=0.

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 OUTPUT                                                                                                   
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 final_models_cont(i,:) estimated PV of the i-th mode.

CROSS-REFERENCE INFORMATION ^

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