Incremental Gauss-Newton Methods with Superlinear Convergence Rates.

Zhiling Zhou Zhuanghua Liu Chengchang Liu Luo Luo

Published in: CoRR (2024)

Keyphrases

convergence rate
convergence speed
step size
learning rate
primal dual
global convergence
mutation operator
numerical stability
stopping criterion
conjugate gradient
neural network
gaussian kernels
linear programming
low memory requirements