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math.OC2023
Parallel Inexact Levenberg-Marquardt Method for Nearly-Separable Nonlinear Least Squares
Lidija Fodor, Dusan Jakovetic, Natasa Krejic +1
Motivated by localization problems such as cadastral maps refinements, we consider a generic Nonlinear Least Squares (NLS) problem of minimizing an aggregate squared fit across all…
math.OC2023
Inexact Gauss-Newton methods with matrix approximation by sampling for nonlinear least-squares and systems
Stefania Bellavia, Greta Malaspina, Benedetta Morini
We develop and analyze stochastic inexact Gauss-Newton methods for nonlinear least-squares problems and for nonlinear systems ofequations. Random models are formed using suitable s…
math.OC2023
Distributed Inexact Newton Method with Adaptive Step Sizes
Dusan Jakovetic, Natasa Krejic, Greta Malaspina
We consider two formulations for distributed optimization wherein agents in a generic connected network solve a problem of common interest: distributed personalized optimizatio…