In this letter, a novel recursive total least squares (RTLS) algorithm that is grounded in a constrained Lagrange optimization of the errors-in-variables model is presented. The proposed RTLS method ...

In this work, we present a contribution on the applicability of the recursive least squares method used for the parametric identification of a corona discharge phenomenon at small distances.

Uses backtracking (DFS-style traversal) to explore all character arrangements from the input string. Tracks each recursion depth (tree level) and stores the generated paths. After recursion, it ...