activity
20242026
collaborators

5 papers

math.OC2026

Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems

Ibrahim K. Ozaslan, Panagiotis Patrinos, Mihailo R. Jovanović

We examine stability properties of primal-dual gradient flow dynamics for composite convex optimization problems with multiple, possibly nonsmooth, terms in the objective function…

math.OC2025

Automated algorithm design via Nevanlinna-Pick interpolation

Ibrahim K. Ozaslan, Tryphon T. Georgiou, Mihailo R. Jovanovic

The synthesis of optimization algorithms typically follows a design-first-analyze-later approach, which often obscures fundamental performance limitations and hinders the systemati…

math.OC2025

Automated algorithm design for convex optimization problems with linear equality constraints

Ibrahim K. Ozaslan, Wuwei Wu, Jie Chen +2

Synthesis of optimization algorithms typically follows a {\em design-then-analyze\/} approach, which can obscure fundamental performance limits and hinder the systematic developmen…

math.OC2024

Accelerated forward-backward and Douglas-Rachford splitting dynamics

Ibrahim K. Ozaslan, Mihailo R. Jovanović

We examine convergence properties of continuous-time variants of accelerated Forward-Backward (FB) and Douglas-Rachford (DR) splitting algorithms for nonsmooth composite optimizati…

math.OC2024

From exponential to finite/fixed-time stability: Applications to optimization

Ibrahim K. Ozaslan, Mihailo R. Jovanović

The development of finite/fixed-time stable optimization algorithms typically involves study of specific problem instances. The lack of a unified framework hinders understanding of…