Table of contents for Evaluating derivatives : principles and techniques of algorithmic differentiation.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.

Mathematical Symbols
1. Introduction
2. A Framework for Evaluating Functions
3. Fundamentals of Forward and Reverse
4. Memory Issues and Complexity Bounds
5. Repeating and Extending Reverse
6. Implementation and Software
7. Sparse Forward and Reverse
8. Exploiting Sparsity by Compression
9. Going beyond Forward and Reverse
10. Jacobian and Hessian Accumulation
11. Observations on Efficiency
12. Reversal Schedules and Checkpointing
13. Taylor and Tensor Coefficients
14. Differentiation without Differentiability
15. Implicit and Iterative Differentiation
List of Figures
List of Tables
Assumptions and Definitions 
Propositions, Corollaries, and Lemmas

Library of Congress Subject Headings for this publication:

Differential calculus -- Data processing.