Fixed Point Methods for the Generalized Stability of Functional Equations in a Single Variable
We discuss on the generalized Ulam-Hyers stability for functional equations in a single variable, including the nonlinear functional equations, the linear functional equations, and a generalization of functional equation for the square root spiral.
Viorel Radu, Liviu Cădariu
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A contrastive study in some body measurements and functional variables between the goal keepers and the futsal goalkeepers [PDF]
The research aims to: - Identify the differences in the morphological and functional variables between soccer goalkeepers and futsal soccer goalkeepers.
Omar Hamoo, Aida Al akam, Khaled Majeed
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Estimation in Partial Functional Linear Spatial Autoregressive Model
Functional regression allows for a scalar response to be dependent on a functional predictor; however, not much work has been done when response variables are dependence spatial variables.
Yuping Hu +3 more
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Exact traveling wave solutions of partial differential equations with power law nonlinearity
In this paper, we applied the functional variable method for four famous partial differential equations with power lawnonlinearity. These equations are included the Kadomtsev-Petviashvili, (3+1)-Zakharov-Kuznetsov, Benjamin-Bona-Mahony-Peregrine ...
Aminikhah H. +2 more
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Study of Functional Variable Method for Finding Exact Solutions of Nonlinear Evolution Equations
A direct method, called the functional variable method, has been used to construct the exact solutions of nonlinear evolution equations (NLEEs) in mathematical physics.
Kamruzzaman KHAN, M. Ali AKBAR
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The aim of this paper is to obtain the exact solutions of the strain wave equation applied for illustrating wave propagation in microstructured solids.
Ayati Z., Hosseini K., Mirzazadeh M.
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Bayesian Adaptive Lasso for the Partial Functional Linear Spatial Autoregressive Model
This study introduces a partial functional linear spatial autoregressive model which can explore the relationship between a scalar spatially dependent response variable and predictive variables containing both multiple scalar covariates and a functional ...
Dengke Xu, Ruiqin Tian, Ying Lu
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On interpolation variants of Newton’s method for functions of several variables
Let \(F:D\subset R^n\to R^n\) be a sufficiently differentiable function. The convergence of the iterative method \[ x^{k+1}=x^k-(\sum_{h=1}^m A_hJ_F(\eta_h(x^k)))^{-1} F(x^k),\quad k\geq 0 \] towards a certain zero of \(F\) is discussed, via generalized Newton methods. Some numerical examples are given so as to illustrate the method.
Alicia Cordero, Juan R. Torregrosa
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Stein’s method for functions of multivariate normal random variables [PDF]
32 pages. To appear in Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques, 2019+
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The Impact of Genetically Proxied AMPK Activation, the Target of Metformin, on Functional Outcome Following Ischemic Stroke [PDF]
Background and Purpose We performed a two-sample Mendelian randomization (MR) analysis to evaluate the causal effect of genetically proxied AMP-activated protein kinase (AMPK) activation, which is the target of metformin, on functional outcome following ...
Mengmeng Wang +4 more
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