
Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In this paper we describe the forward and adjoint methods for sensitivity analysis, and outline some of our recent work on theory, algorithms and software for sensitivity analysis of differential-algebraic equation (DAE) and time-dependent partial differential equation (PDE) systems.
Optimization, Design, Optimal Control, Computing, Partial Differential Equations, 99 General And Miscellaneous//Mathematics, Process Control, Sensitivity Analysis, And Information Science, Algorithms
Optimization, Design, Optimal Control, Computing, Partial Differential Equations, 99 General And Miscellaneous//Mathematics, Process Control, Sensitivity Analysis, And Information Science, Algorithms
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