Approximating k-Edge-Connected Spanning Subgraphs via a Near-Linear Time LP Solver

Explore a 39-minute lecture on approximating k-edge-connected spanning subgraphs (kECSS) using a near-linear time LP solver. Delve into the NP-hard problem of computing minimum-cost sub-networks resilient against up to k link failures. Learn about the improved algorithm that achieves a (1+ε)-approximation of the optimal fractional solution in Õ(m/ε²) time, independent of k. Discover how this can be transformed into a (2+ε) approximation algorithm for integral kECSS, running in Õ(m/(ε²) + {k²n^{1.5}}/ε²) time. Compare this advancement to previous results, noting the improved running time while maintaining an approximation ratio close to two. Gain insights into the broader class of survival network design problems (SNDP) and their applications in optimization and algorithm design.

Approximating k-Edge-Connected Spanning Subgraphs via a Near-Linear Time LP Solver