find_optimal_t: Optimal alignment to a smooth curve

In elasdics: Elastic Analysis of Sparse, Dense and Irregular Curves

Optimal alignment to a smooth curve

Description

Finds optimal alignment for a discrete open srv curve to a smooth curve

Usage

find_optimal_t(srv_curve, s, q, initial_t = s, eps = 10 * .Machine$double.eps)

Arguments

srv_curve	srv transformation of the smooth curve, needs to be vectorized
s	time points for q, first has to be 0, last has to be 1
q	square root velocity vectors, one less than time points in s
initial_t	starting value for the optimization algorithm
eps	convergence tolerance

Value

optimal time points for q, without first value 0 and last value 1, optimal time points have the distance of the observation to the srv_curve as an attribute

elasdics documentation built on June 22, 2024, 12:27 p.m.