Adaptive precision methodology for flow optimization via discretization and iteration error control

An adaptive precision optimization methodology based on discretization and iteration error estimates is presented. Issues of efficient concurrent flow-adjoint solution and consistency between PDE and discrete adjoint for the Discontinious Galerkin (DG) discretization of the Euler compressible equations are developed. Optimization results for quasi-one dimensional channel flow are presented to demonstrate the methodology.