Introduces HOME-DC smoothing for DC functions, derives an inexact first-order oracle, and proposes convergent inexact descent methods with preliminary numerical support on sparse clustering.
Journal of Global Optimization 61(2):341–361
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Difference-of-Convex Optimization via Inexact Smoothing Descent Methods: Difference of High-Order Moreau Envelopes
Introduces HOME-DC smoothing for DC functions, derives an inexact first-order oracle, and proposes convergent inexact descent methods with preliminary numerical support on sparse clustering.