Adjoints

Numerical Optimization
Adjoints

Summary

Developing advanced adjoint and forward sensitivity capabilities in PETSc and Albany/Trilinos to provide essential derivative information that will support important quantities of interest that arise in dynamic optimization problems and data assimilation.

Adjoints and forward sensitivities provide the derivative information required for the numerical optimization. We will develop advanced adjoint capabilities, preconditioned iterative solvers for calculations involving multiple quantities of interest, and the action of second-order adjoints.
 

Contact

Todd Munson

Mathematics and Computer Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Building 240, Argonne, IL 60439

630-252-4279