Control and Optimization Problems

Optimization and control problems for systems governed by partial differential equations (PDEs) arise in many applications. Experimental studies of such problems go back at least 100 years [312] and computational approaches have been applied since the advent of the computer age. Most of the efforts in the latter direction have employed elementary optimization strategies but, more recently, there has been considerable practical and theoretical interest in the application of sophisticated local and global optimization strategies, e.g., Lagrange multiplier methods, sensitivity or adjoint-based gradient methods, quasi-Newton methods, evolutionary algorithms, and so on.