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A General Inertial Viscosity Type Method for Nonexpansive Mappings and Its Applications in Signal Processing
In this paper, we propose viscosity algorithms with two different inertia parameters for solving fixed points of nonexpansive and strictly pseudocontractive mappings. Strong convergence theorems areExpand
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Strong convergence of modified inertial Mann algorithms for nonexpansive mappings.
In this paper, we introduce two new modified inertial Mann Halpern and viscosity algorithms for solving fixed point problems. We establish strong convergence theorems under some suitable conditions.Expand
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An inertial shrinking projection algorithm for split common fixed point problems
TLDR
In this paper, the purpose is to introduce and study a new modified shrinking projection algorithm with inertial effects, which solves split common fixed point problems in Banach spaces. Expand
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Self-adaptive inertial extragradient algorithms for solving variational inequality problems
In this paper, we study the strong convergence of two Mann-type inertial extragradient algorithms, which are devised with a new step size, for solving a variational inequality problem with a monotoneExpand
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Inertial extragradient algorithms for solving variational inequalities and fixed point problems
TLDR
The objective of this research is to explore a convex feasibility problem, which consists of a monotone variational inequality problem and a fixed point problem. Expand
UNAUTHORIZED IMMIGRANTS' ACCESS TO DRIVER'S LICENSES AND AUTO INSURANCE COVERAGE
Fourteen states and the District of Columbia allow unauthorized immigrants to obtain driver's licenses. Using variation in the timing and location of these policy changes, we show these UnauthorizedExpand
Strong convergence of inertial extragradient algorithms for solving variational inequalities and fixed point problems
TLDR
The paper investigates two inertial extragradient algorithms for seeking a common solution to a variational inequality problem involving a monotone and Lipschitz continuous mapping and a fixed point problem with a demicontractive mapping. Expand
Empirical likelihood and uniform convergence rates for dyadic kernel density estimation.
This paper studies the asymptotic properties of and improved inference methods for kernel density estimation (KDE) for dyadic data. We first establish novel uniform convergence rates for dyadic KDEExpand
Accelerated projection-based forward-backward splitting algorithms for monotone inclusion problems
TLDR
In this paper, based on inertial and Tseng's ideas, we propose two projection-based algorithms to solve monotone inclusion problem in infinite dimensional Hilbert spaces. Expand
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An explicit extragradient algorithm for equilibrium problems on Hadamard manifolds
In this paper, we investigate a new extragradient algorithm for solving pseudomonotone equilibrium problems on Hadamard manifolds. The algorithm uses a variable stepsize which is updated at eachExpand