applied mathematics
惯性Bregman近端迭代重加权算法
Inertial Bregman Proximal Iteratively Reweighted AlgorithmsA numerical optimization method combining inertial dynamics with Bregman proximal and iteratively reweighted techniques to solve nonconvex nonsmooth regularized problems / 一种结合惯性动力学、Bregman近端和迭代重加权技术的数值优化方法，用于求解非凸非光滑正则化问题。
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- 工艺技术
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- 农场主
- Last updated
- 2026-11-05 21:05:33
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Main parameters and performance indicators
nonconvex nonsmooth regularized problems: The class of optimization problems being solvedinertial dynamics: Acceleration term to improve convergence speedBregman proximal: Proximal operator based on Bregman divergenceiteratively reweighted: Reweighting strategy to handle nonconvexity
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Related literature
ranked by community starsInertial bregman proximal iteratively reweighted algorithms for a class of nonconvex nonsmooth regularized problemsOpen source
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1 recordsRecord title: Inertial Bregman Proximal Iteratively Reweighted Algorithms.
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