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· 제목 : Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Paperback, 2, Revised)
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 미분방정식 > 미분방정식 일반
· ISBN : 9780898716597
· 쪽수 : 460쪽
· 출판일 : 2008-11-06
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 미분방정식 > 미분방정식 일반
· ISBN : 9780898716597
· 쪽수 : 460쪽
· 출판일 : 2008-11-06
목차
- Rules
- Preface
- Prologue
- Mathematical Symbols
- Chapter 1: Introduction
- Chapter 2: A Framework for Evaluating Functions
- Chapter 3: Fundamentals of Forward and Reverse
- Chapter 4: Memory Issues and Complexity Bounds
- Chapter 5: Repeating and Extending Reverse
- Chapter 6: Implementation and Software
- Chapter 7: Sparse Forward and Reverse
- Chapter 8: Exploiting Sparsity by Compression
- Chapter 9: Going beyond Forward and Reverse
- Chapter 10: Jacobian and Hessian Accumulation
- Chapter 11: Observations on Efficiency
- Chapter 12: Reversal Schedules and Checkpointing
- Chapter 13: Taylor and Tensor Coefficients
- Chapter 14: Differentiation without Differentiability
- Chapter 15: Implicit and Iterative Differentiation
- Epilogue
- List of Figures
- List of Tables
- Assumptions and Definitions
- Propositions, Corollaries, and Lemmas
- Bibliography
- Index
