1995•Unpublished venueRequires access

Automatic Differentiation for Gradients, Jacobians, and Hessians

Ulrich Kulisch, Rolf Hammer, Matthias Hocks, Dietmar Ratz

Open publisher page 0 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Automatic differentiation, Numerical differentiation, Hessian matrix, Jacobian matrix and determinant, Computation, Symbolic computation, Variable (mathematics), Applied mathematics