Metadata
Author: WikiMatrix
Data
English[en]
While evaluating Hessians (H) and gradients (G) improves the rate of convergence, for functions for which these quantities exist and vary sufficiently smoothly, such evaluations increase the computational complexity (or computational cost) of each iteration.
Spanish[es]
Mientras que evaluando Hessianas (H) y gradientes (G) mejora la velocidad de convergencia, tales evaluaciones aumentan la complejidad computacional (o costo computacional) de cada iteración.