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

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

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Preface; Prologue; Introduction; Part I: Tangents and Gradients. A Framework for Evaluating Functions; Fundamentals of Forward and Reverse; Repeating and Extending Reverse; Implementation and Software; Part II: Jacobians and Hessians. Sparse Forward and Reverse; Exploiting Sparsity by Compression; Going Beyond Forward and Reverse; Observations on Efficiency; Part III: Advances and Reversals. Taylor and Tensor Coefficients; Differentiation without Differentiability; Serial and Parallel Reversal Schedules; Bibliography; Index.

Library of Congress subject headings for this publication:
Differential calculus -- Data processing.