Alternating direction method of multipliers for linear hyperspectral unmixing

DOI10.1007/s00186-023-00815-2zbMath1514.65070MaRDI QIDQ6107870

Yu-Hong Dai, Li-wei Zhang, Fang Fang Xu

Publication date: 28 June 2023

Published in: Mathematical Methods of Operations Research (Search for Journal in Brave)

zbMATH Keywords

alternating direction method of multiplierscoupled objective functionglobally convergenceendmemberslinear hyperspectral unmixing

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Randomized algorithms (68W20)

Cites Work

• On the convergence properties of a majorized alternating direction method of multipliers for linearly constrained convex optimization problems with coupled objective functions
• On the global and linear convergence of the generalized alternating direction method of multipliers
• A sequential updating scheme of the Lagrange multiplier for separable convex programming
• A Convex Analysis-Based Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing
• Spectral Unmixing via Data-Guided Sparsity
• The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

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