Support Discovery With Iteratively Reweighted Least Squares for Fixed-Charge Network Flow
This work proposes a scalable continuous-optimization algorithm for large-scale single-commodity FCNFP based on an iteratively reweighted least-squares (IRLS) framework and develops an algorithmic variant that incorporates objective-driven perturbation restarts and an anchor-union restricted search that jointly leverag...