2 papers
math.OC2026
Convergence Analysis via ODE Approach for Convex Optimization with Linear Equality Constraints
Chise Ishii, Yasushi Narushima
This paper studies the continuous-time dynamics of primal-dual algorithms for linearly constrained convex optimization problems and provides a quantitative convergence analysis usi…
math.OC2026
Proximal Nonlinear Conjugate Gradient Methods for Composite Optimization
Shodai Hamana, Yasushi Narushima
The nonlinear conjugate gradient methods are known to be an effective approach for standard unconstrained optimization problems especially for large-scale problems. This paper prop…