The theory and applications of Iteration Methods is a very fast-developing field of numerical
analysis and computer methods. The second edition is completely updated and continues to …

Reservoir model parameters generally have very large uncertainty ranges, and need to be
calibrated by history matching (HM) available production data. Properly assessing the …

In this paper we consider a version of the Kantorovich's theorem for solving the generalized
equation F (x)+ T (x)∋ 0, where F is a Fréchet derivative function and T is a set-valued and …

In this work we present a convergence analysis of the pose graph optimization problem, that
arises in the context of mobile robots localization and mapping. The analysis is performed …

In this paper, we consider convex composite optimization problems on Riemannian
manifolds, and discuss the semi-local convergence of the Gauss-Newton method with quasi …

In current electrical power industry, a great number of power electronic devices produce
harmonics. Moreover, the fundamental system frequency of a power line can deviate in the …

Although it is possible to apply traditional optimization algorithms together with the
randomized-maximum-likelihood (RML) method to generate multiple conditional …

Under the hypothesis that an initial point is a quasi-regular point, we use a majorant
condition to present a new semilocal convergence analysis of an extension of the Gauss …

Monitoring, operation, and protection of distribution power grids fundamentally rely on the
accurate estimation of line impedances. However, line impedance estimation is challenging …

In this paper, we consider Newton's method for solving a generalized equation of the form f
(x)+ F (x)∋ 0, where f: Ω→ Y is continuously differentiable, X and Y are Banach spaces, Ω⊂ …