4 papers
A graphical framework for global optimization of mixed-integer nonlinear programs
Danial Davarnia, Mohammadreza Kiaghadi, Junyuan Qiu
While mixed-integer linear programming and convex programming solvers have advanced significantly over the past several decades, solution technologies for general mixed-integer non…
A Lock-Free Work-Stealing Algorithm for Bulk Operations
Raja Sai Nandhan Yadav Kataru, Danial Davarnia, Ali Jannesari
Work-stealing is a widely used technique for balancing irregular parallel workloads, and most modern runtime systems adopt lock-free work-stealing deques to reduce contention and i…
A Unifying Convexification Framework for Chance-Constrained Programs with Finite Support via Bilinear Formulations over a Simplex
Danial Davarnia, Hamed Rahimian
Chance-constrained programming is a widely used framework for decision-making under uncertainty, yet its mixed-integer reformulations over a finite support involve nonconvex mixing…
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions
Danial Davarnia, Mohammadreza Kiaghadi
Optimization problems with norm-bounding constraints arise in a variety of applications, including portfolio optimization, machine learning, and feature selection. A common approac…