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An inertial proximal partially symmetric ADMM-based algorithm for linearly constrained multi-block nonconvex optimization problems with applications

Xiaoquan Wang, Hu Shao, Pengjie Liu, Ting Wu

2022Journal of Computational and Applied Mathematics20 citationsDOI

Topics & Concepts

MathematicsSeparable spaceLagrange multiplierInertial frame of referenceConvergence (economics)Bounded functionLinearizationRelaxation (psychology)AlgorithmMathematical optimizationBlock (permutation group theory)Applied mathematicsMathematical analysisNonlinear systemCombinatoricsPsychologyPhysicsQuantum mechanicsEconomic growthSocial psychologyEconomicsSparse and Compressive Sensing TechniquesAdvanced Optimization Algorithms ResearchAdvanced Adaptive Filtering Techniques
An inertial proximal partially symmetric ADMM-based algorithm for linearly constrained multi-block nonconvex optimization problems with applications | Litcius