An adaptive stochastic heavy ball method with a discrepancy-based a posteriori stopping rule is introduced for ill-posed inverse problems, proving almost sure and expectation convergence while improving efficiency for large systems.
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On a posteriori stopping rules of adaptive stochastic heavy ball method for ill-posed problems
An adaptive stochastic heavy ball method with a discrepancy-based a posteriori stopping rule is introduced for ill-posed inverse problems, proving almost sure and expectation convergence while improving efficiency for large systems.