Results 31 to 40 of about 63 (62)
In this article, we study the split variational inclusion and fixed point problems using Bregman weak relatively nonexpansive mappings in the pp-uniformly convex smooth Banach spaces.
Ngwepe Matlhatsi Dorah +3 more
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In this paper, we introduce and study an implicit iterative method to approximate a common solution of split equilibrium problem and fixed point problem for a nonexpansive semigroup in real Hilbert spaces. Further, we prove that the nets generated by the
K.R. Kazmi, S.H. Rizvi
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On the proximal point algorithm and demimetric mappings in CAT(0) spaces
In this paper, we introduce and study the class of demimetric mappings in CAT(0) spaces.We then propose a modified proximal point algorithm for approximating a common solution of a finite family of minimization problems and fixed point problems in CAT(0)
Aremu Kazeem O. +3 more
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This article aims to provide a modified Noor iterative scheme to approximate the fixed points of generalized nonexpansive mappings with property (EE) called MN-iteration.
Paimsang Papinwich, Thianwan Tanakit
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This work is devoted to study the convection–reaction–diffusion behavior of contaminant in the recovered fracturing fluid which flows in the wellbore from shale gas reservoir. First, we apply various constitutive laws for generalized non-Newtonian fluids,
Cen Jinxia +3 more
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Tikhonov regularization of a second order dynamical system with Hessian driven damping. [PDF]
Boţ RI, Csetnek ER, László SC.
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The purpose of this paper is to study a split generalized mixed equilibrium problem and a fixed point problem for nonspreading mappings in real Hilbert spaces.We introduce a new iterative algorithm and prove its strong convergence for approximating a ...
Jolaoso Lateef Olakunle +3 more
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On Parabolic Variational Inequalities with Multivalued Terms and Convex Functionals
In this paper, we consider the following parabolic variational inequality containing a multivalued term and a convex functional: Find u∈Lp(0,T;W01,p(Ω)){u\in L^{p}(0,T;W^{1,p}_{0}(\Omega))} and f∈F(⋅,⋅,u){f\in F(\cdot,\cdot,u)} such that u(⋅,0)=u0{u(\
Le Vy Khoi, Schmitt Klaus
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Performance Bounds For Co-/Sparse Box Constrained Signal Recovery
The recovery of structured signals from a few linear measurements is a central point in both compressed sensing (CS) and discrete tomography. In CS the signal structure is described by means of a low complexity model e.g. co-/sparsity.
Kuske Jan, Petra Stefania
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Efficient iterative solutions to complex-valued nonlinear least-squares problems with mixed linear and antilinear operators. [PDF]
Kim TH, Haldar JP.
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