This thesis is concerned with linear and non-linear optimal flow control problems which are modeled by systems of partial differential equations. The numerical treatment of such problems, especially in the context of flow problems, is often very expensive and challenging. To tackle this complexity, we present parallel approaches based on non-overlapping domain decomposition methods that exploit the computational power provided by modern high performance computing technologies
