Aggregation in large-scale optimization

The volume contains exact, approximate and iterative aggregation in large-scale optimization. Aggregation-disaggregation techniques provide a set of tools to cope with large optimization problems by: *combining data, *using an auxiliary (aggregated) problem, which is reduced in size and/or complexity relative to the original problem, *analyzing error by solving a simpler problem than the original one. Audience: This volume is suitable for specialists in operations research, optimization, and optimal control.