Author

Mamoru Oka

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Preprint Aug 2026

A stabilized sequential quadratic programming method for degenerate nonlinear optimization problems on Riemannian manifolds

This study extends the stabilized SQP framework from Euclidean spaces to Riemannian manifolds and proves that the generated sequence has an accumulation point that is a Karush--Kuhn--Tucker (KKT) point, an approximate KKT (AKKT) point, or a stationary point of an associated feasibility problem.

Yuya Yamakawa, Mamoru Oka · 0 citations