Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems. These algorithms distribute ...

Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, ...

Sequential optimality conditions for constrained optimization are necessarily satisfied by local minimizers, independently of the fulfillment of constraint qualifications. These conditions support the ...

We propose a new trust region algorithm for nonlinear constrained optimization problems. In each iteration of our algorithm, the trial step is computed by minimizing a quadratic approximation to the ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

On December 8, 2021, Kari Rantanen of the Constraint Reasoning and Optimization group successfully defended his doctoral thesis Optimization Algorithms for Learning Graphical Model Structures. M.Sc.

Constraint Reasoning and Optimization Group is offering summer internships to MSc and BSc level students, providing a hands-on experience to forefront research in the group. The Constraint Reasoning ...