Maximum Likelihood-Based Iterated Divided Difference Filter for Nonlinear Systems from Discrete Noisy Measurements [PDF]
Sensors, 2012 A new filter named the maximum likelihood-based iterated divided difference filter (MLIDDF) is developed to improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation errors and nonlinearity of measurement ...
Changyuan Wang, Jing Zhang, Jing Mu
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Correntropy Based Divided Difference Filtering for the Positioning of Ships [PDF]
Sensors, 2018 In this paper, robust first and second-order divided difference filtering algorithms based on correntropy are proposed, which not only retain the advantages of divided difference filters, but also exhibit robustness in the presence of non-Gaussian noises,
Xi Liu +3 more
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Skew Divided Difference Operators and Schubert Polynomials [PDF]
Symmetry, Integrability and Geometry: Methods and Applications, 2007 We study an action of the skew divided difference operators on the Schubert polynomials and give an explicit formula for structural constants for the Schubert polynomials in terms of certain weighted paths in the Bruhat order on the symmetric group.
Anatol N. Kirillov
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A Divided Difference Operator [PDF]
Discrete Mathematics & Theoretical Computer Science, 2013 We construct a divided difference operator using GKM theory. This generalizes the classical divided difference operator for the cohomology of the complete flag variety.
Nicholas Teff
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Discontinuous Galerkin methods for nonlinear scalar hyperbolic conservation laws: divided difference estimates and accuracy enhancement. [PDF]
Numer Math (Heidelb), 2017 In this paper, an analysis of the accuracy-enhancement for the discontinuous Galerkin (DG) method applied to one-dimensional scalar nonlinear hyperbolic conservation laws is carried out.
Meng X, Ryan JK.
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Divided square difference cordial Labeling of join some spider graphs [PDF]
E3S Web of Conferences, 2023 Let G be a graph with its vertices and edges. On defining bijective function ρ:V(G) →{0,1,...,p}. For each edge assign the label with 1 if ρ*(ab)= | ρ(a)2−ρ(b)2/ρ(a)−ρ(b) | is odd or 0 otherwise such that |eρ(1) − eρ(0)| ≤ 1 then the labeling is called ...
Christy T., Palani G.
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On some properties of Schwartz–Gopengauz operator
Lietuvos Matematikos Rinkinys, 2023 The generalization of Schwarz’s derivative proposed by B.E. Gopengauz, which is applied to the study of the properties of the class of functions with nonvanishing in the unit circle divided difference of n-th order is examined.
Eduardas Kirjackis
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n-Convexity via Delta-Integral Representation of Divided Difference on Time Scales
International Journal of Analysis and Applications, 2022 We introduce the delta-integral representation of divided difference on arbitrary time scales and utilize it to set criteria for n-convex functions involving delta-derivative on time scales.
Hira Ashraf Baig, Naveed Ahmad
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Local convergence of the Gauss-Newton-Kurchatov method under generalized Lipschitz conditions
Karpatsʹkì Matematičnì Publìkacìï, 2021 We investigate the local convergence of the Gauss-Newton-Kurchatov method for solving nonlinear least squares problems. This method is a combination of Gauss-Newton and Kurchatov methods and it is used for problems with the decomposition of the operator.
S.M. Shakhno, H.P. Yarmola
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Enhancing Equation Solving: Extending the Applicability of Steffensen-Type Methods
Mathematics, 2023 Local convergence analysis is mostly carried out using the Taylor series expansion approach, which requires the utilization of high-order derivatives, not iterative methods.
Ramandeep Behl +2 more
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