Using ADIFOR 1.0 to compute Hessians | Zendy

Paul Hovland | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Using ADIFOR 1.0 to compute Hessians

Author(s) -

Paul Hovland

Publication year - 1995

Language(s) - English

Resource type - Reports

DOI - 10.2172/90216

Subject(s) - code (set theory) , automatic differentiation , computer science , simple (philosophy) , programming language , algorithm , computational science , parallel computing , set (abstract data type) , philosophy , epistemology , computation

ADIFOR provides a simple means to produce code for the first derivatives of functions through the technique of automatic differentiation. However, the fact that ADIFOR currently cannot produce code to compute second derivatives limits its usefulness for certain applications. This paper describes how ADIFOR and related tools can be used to produce code that does compute second derivatives and discusses how to use this code. Conclusions are presented about the limitations of this method and how it might compare with second-derivative code produced directly by ADIFOR

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research