3 papers
cs.FL2025
Modular Decomposition of Hierarchical Finite State Machines
Oliver Biggar, Behzad Zamani, Iman Shames
Hierarchical Finite State Machines (HFSMs) are a standard software-modelling concept which extends the classical Finite State Machine (FSM) notion with the useful abstraction of hi…
math.OC2024
Online Interior-point Methods for Time-varying Equality-constrained Optimization
Jean-Luc Lupien, Iman Shames, Antoine Lesage-Landry
An important challenge in the online convex optimization (OCO) setting is to incorporate generalized inequalities and time-varying constraints. The inclusion of constraints in OCO…
math.OC2024
Online Convex Optimization Using Coordinate Descent Algorithms
Yankai Lin, Iman Shames, Dragan NeÅ¡iÄ
This paper considers the problem of online optimization where the objective function is time-varying. In particular, we extend coordinate descent type algorithms to the online case…