Summer School on Large Scale Optimization

aims and scope: several real-world optimization problems (for example, facility location problems, network design problems, vehicle routing problems, etc.) that commonly arise in the context of supply chain and logistics, are often modeled as integer programs/mixed integer programs program (ips/mips). ips/mips can be notoriously difficult, often to an extent that even the best ip/mip solvers, which use branch and cut algorithms, fail to solve them in a reasonable time. the objective of the summer school on large scale optimization is to train participants on how to take advantage of the often hidden special structures of such problems, either by relaxation or by decomposition into relatively easier/smaller problems, which can be solved efficiently using their special structures. the challenge then is how to recover the solution to the original problem from the solution to its relaxation/decomposition. to this end, it will provide tutorials on several decomposition techniques, namely, l