0898716594

Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition (repost)

Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition by Andreas Griewank and Andrea Walther
English | 2008 | ISBN: 0898716594 | 460 pages | PDF | 3,3 MB

Algorithmic, or automatic, differentiation (AD) is a growing area of theoretical research and software development concerned with the accurate and efficient evaluation of derivatives for function evaluations given as computer programs.
Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, 2 Edition (repost)

Andreas Griewank, Andrea Walther, "Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, 2 Edition"
2008 | ISBN: 0898716594 | 460 pages | PDF | 3,3 MB
Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, 2 Ed

Andreas Griewank, Andrea Walther, "Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, 2 Ed"
Society for Industrial and Applied Mathematic | 2008 | ISBN: 0898716594 | 460 pages | PDF | 3,3 MB