In this talk, we combine the FOSLS method with the FOSLL method to create a Hybrid method. The FOSLS approach minimizes the error, , over a finite element subspace, , in the operator norm, . The FOSLL method looks for an approximation in the range of , setting and choosing , a standard finite element space. FOSLL minimizes the norm of the error over , that is, . FOSLS enjoys a locally sharp, globally reliable, and easily computable a posterior error estimate, while FOSLL does not.
The hybrid method attempts to retain the best properties of both FOSLS and FOSLL . This is accomplished by combining the FOSLS functional, the FOSLL functional, and an intermediate term that draws them together. The Hybrid method produces an approximation, , that is nearly the optimal over in the graph norm, . The FOSLS and intermediate terms in the Hybrid functional provide a very effective a posteriori error measure.
We show that the hybrid functional is coercive and continuous in the graph-like norm with modest constants, and ; that both and converge with rates based on standard interpolation bounds; and that if has full regularity, the error, , converges with a full power of the discretization parameter, , faster than the functional norm. Letting denote the optimum over in the graph norm, we also show that if superposition is used, then converges two powers of faster than the functional norm. Numerical tests are provided to confirm the efficiency of the Hybrid method.