PANOC-lite is a proximal-gradient linesearch method with a cheaper backtracking procedure and novel merit function that achieves global subsequential convergence and local superlinear convergence under standard assumptions.
Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone linesearch algorithms
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PANOC-lite: A simpler and more efficient algorithm for composite minimization
PANOC-lite is a proximal-gradient linesearch method with a cheaper backtracking procedure and novel merit function that achieves global subsequential convergence and local superlinear convergence under standard assumptions.