Add to ORKGSensitivity 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
In this paper we develop a new method for numerically approximating sensitivitiesin parameter-depend...
An efficient method is described for sensitivity analysis of nonlinear initial value problems, which...
This manuscript was conceived with the goal of shortening the gap between developers and practitione...
Systems of differential-algebraic equations (DAEs) are a natural description for mathematical models...
Differential-algebraic equations arise in a wide variety of engineering and scientific problems. Rel...
AbstractSensitivity analysis for DAE systems is important in many engineering and scientific applica...
Sensitivity analysis is an important tool in mathematics as well as engineering with applications ra...
Many practical chemical engineering processes involve a sequence of distinct transient operations, f...
Sensitivity analysis in the statistical identification of dynamic models uses the first partial deri...
We compare several methods for sensitivity analysis of differential–algebraic equations (DAEs). Comp...
AbstractWe derive a simple sensitivity formula for systems described by the equation Lw = q where L ...
. This paper discusses the calculation of sensitivities, or derivatives, for optimization problems i...
An efficient parallel algorithm for the computation of parametric sensitivities for differential-alg...
An analytical differential equation model from a single simulation input and output data vector is d...
DASPKADJOINT, for sensitivity computation of di®erential-algebraic equations (DAEs) by the adjoint m...
In this paper we develop a new method for numerically approximating sensitivitiesin parameter-depend...
An efficient method is described for sensitivity analysis of nonlinear initial value problems, which...
This manuscript was conceived with the goal of shortening the gap between developers and practitione...
Systems of differential-algebraic equations (DAEs) are a natural description for mathematical models...
Differential-algebraic equations arise in a wide variety of engineering and scientific problems. Rel...
AbstractSensitivity analysis for DAE systems is important in many engineering and scientific applica...
Sensitivity analysis is an important tool in mathematics as well as engineering with applications ra...
Many practical chemical engineering processes involve a sequence of distinct transient operations, f...
Sensitivity analysis in the statistical identification of dynamic models uses the first partial deri...
We compare several methods for sensitivity analysis of differential–algebraic equations (DAEs). Comp...
AbstractWe derive a simple sensitivity formula for systems described by the equation Lw = q where L ...
. This paper discusses the calculation of sensitivities, or derivatives, for optimization problems i...
An efficient parallel algorithm for the computation of parametric sensitivities for differential-alg...
An analytical differential equation model from a single simulation input and output data vector is d...
DASPKADJOINT, for sensitivity computation of di®erential-algebraic equations (DAEs) by the adjoint m...
In this paper we develop a new method for numerically approximating sensitivitiesin parameter-depend...
An efficient method is described for sensitivity analysis of nonlinear initial value problems, which...
This manuscript was conceived with the goal of shortening the gap between developers and practitione...