Sensitivity Analysis Using Parallel ODE Solvers and Automatic Differentiation in C: SensPVODE and ADIC

  • Lee S
  • Hovland P
N/ACitations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Lee, S. L., & Hovland, P. D. (2002). Sensitivity Analysis Using Parallel ODE Solvers and Automatic Differentiation in C: SensPVODE and ADIC. In Automatic Differentiation of Algorithms (pp. 223–229). Springer New York. https://doi.org/10.1007/978-1-4613-0075-5_26

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free