PVODE is a high-performance ordinary differential equation solver for the types of initial value problems (IVPs) that arise in large-scale computational simulations. Often, one wants to compute sensitivities with respect to certain parameters in the IVP. We discuss the use of automatic differentiation (AD) to compute these sensitivities in the context of PVODE. Results on a simple test problem indicate that the use of AD-generated derivative code can reduce the time to solution over finite difference approximations
Sensitivity analysis is a technique for determining derivatives of system responses with respect to ...
Automatic differentiation (AD) is a way to accurately and efficiently compute derivatives of a func...
Sensitivity analysis is a method to measure the change in a dependent variable with respect to one o...
ABSTRACT PVODE is a high-performance ordinary dierential equation solver for the types of initial va...
Despite its name, automatic differentiation (AD) is often far from an automatic process. often one m...
A large number of physical phenomena are modeled by a system of ODEs or a system of implicit ODEs. ...
We describe the development of a differentiated version of PETSC, an object-oriented toolkit for the...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
Full text of this paper is not available in the UHRAThis paper gives an introduction to a number of ...
Modeling and simulation of physical systems is, in general, a complex iterative process. Asserted mo...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
. Automatic differentiation (AD) is a methodology for developing sensitivity-enhanced versions of ar...
Sensitivity derivative (SD) calculation via automatic differentiation typical of that required for t...
Multidisciplinary Design Optimization (MDO) by means of formal sensitivity analysis requires that ea...
We describe the development of a differentiated version of PETSc, an objectoriented toolkit for the...
Sensitivity analysis is a technique for determining derivatives of system responses with respect to ...
Automatic differentiation (AD) is a way to accurately and efficiently compute derivatives of a func...
Sensitivity analysis is a method to measure the change in a dependent variable with respect to one o...
ABSTRACT PVODE is a high-performance ordinary dierential equation solver for the types of initial va...
Despite its name, automatic differentiation (AD) is often far from an automatic process. often one m...
A large number of physical phenomena are modeled by a system of ODEs or a system of implicit ODEs. ...
We describe the development of a differentiated version of PETSC, an object-oriented toolkit for the...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
Full text of this paper is not available in the UHRAThis paper gives an introduction to a number of ...
Modeling and simulation of physical systems is, in general, a complex iterative process. Asserted mo...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
. Automatic differentiation (AD) is a methodology for developing sensitivity-enhanced versions of ar...
Sensitivity derivative (SD) calculation via automatic differentiation typical of that required for t...
Multidisciplinary Design Optimization (MDO) by means of formal sensitivity analysis requires that ea...
We describe the development of a differentiated version of PETSc, an objectoriented toolkit for the...
Sensitivity analysis is a technique for determining derivatives of system responses with respect to ...
Automatic differentiation (AD) is a way to accurately and efficiently compute derivatives of a func...
Sensitivity analysis is a method to measure the change in a dependent variable with respect to one o...