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08/01/2023
On greedy multi-step inertial randomized Kaczmarz method for solving linear systems
Recently, the multi-step inertial randomized Kaczmarz (MIRK) method for ...
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07/31/2023
Fast stochastic dual coordinate descent algorithms for linearly constrained convex optimization
The problem of finding a solution to the linear system Ax = b with certa...
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07/05/2023
The linear convergence of the greedy randomized Kaczmarz method is deterministic
To improve the convergence property of the randomized Kaczmarz (RK) meth...
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12/31/2022
Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems
We investigate the randomized Kaczmarz method that adaptively updates th...
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07/10/2022
On finite termination of the generalized Newton method for solving absolute value equations
Motivated by the framework constructed by Brugnano and Casulli [SIAM J. ...
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11/27/2021
A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
The system of generalized absolute value equations (GAVE) has attracted ...
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03/30/2021
Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes
In this paper, we develop a symmetric accelerated stochastic Alternating...
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03/18/2021
A class of inexact modified Newton-type iteration methods for solving the generalized absolute value equations
In Wang et al. (J. Optim. Theory Appl., 181: 216–230, 2019), a class of ...
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03/17/2021
An inexact Douglas-Rachford splitting method for solving absolute value equations
The last two decades witnessed the increasing of the interests on the ab...
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01/16/2020