The art of differentiating computer programs: an introduction to algorithmic differentiation
This is the first entry-level book on algorithmic (also known as automatic) differentiation (AD), providing fundamental rules for the generation of first- and higher-order tangent-linear and adjoint code. The author covers the mathematical underpinnings as well as how to apply these observations to...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Philadelphia, Pa.
Society for Industrial and Applied Mathematics (SIAM)
2011
|
| Schriftenreihe: | Software, environments, and tools
24 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1137/1.9781611972078 https://doi.org/10.1137/1.9781611972078 https://doi.org/10.1137/1.9781611972078 https://doi.org/10.1137/1.9781611972078 https://doi.org/10.1137/1.9781611972078 |
| Zusammenfassung: | This is the first entry-level book on algorithmic (also known as automatic) differentiation (AD), providing fundamental rules for the generation of first- and higher-order tangent-linear and adjoint code. The author covers the mathematical underpinnings as well as how to apply these observations to real-world numerical simulation programs. Readers will find: examples and exercises, including hints to solutions; the prototype AD tools dco and dcc for use with the examples and exercises; first- and higher-order tangent-linear and adjoint modes for a limited subset of C/C++, provided by the derivative code compiler dcc; a supplementary website containing sources of all software discussed in the book, additional exercises and comments on their solutions (growing over the coming years), links to other sites on AD, and errata |
| Umfang: | 1 Online-Ressource (xviii, 340 Seiten) |
| ISBN: | 9781611972078 |
| DOI: | 10.1137/1.9781611972078 |
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Datensatz im Suchindex
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| discipline | Mathematik |
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| id | DE-604.BV040289724 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T16:11:43Z |
| institution | BVB |
| isbn | 9781611972078 |
| language | English |
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| physical | 1 Online-Ressource (xviii, 340 Seiten) |
| psigel | ZDB-72-SIA |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Society for Industrial and Applied Mathematics (SIAM) |
| record_format | marc |
| series | Software, environments, and tools |
| series2 | Software, environments, and tools |
| spellingShingle | Naumann, Uwe 1969- The art of differentiating computer programs an introduction to algorithmic differentiation Software, environments, and tools Computer programs Automatic differentiations Sensitivity theory (Mathematics) Automatische Differentiation (DE-588)4314524-3 gnd Programm (DE-588)4047394-6 gnd |
| subject_GND | (DE-588)4314524-3 (DE-588)4047394-6 (DE-588)4151278-9 |
| title | The art of differentiating computer programs an introduction to algorithmic differentiation |
| title_auth | The art of differentiating computer programs an introduction to algorithmic differentiation |
| title_exact_search | The art of differentiating computer programs an introduction to algorithmic differentiation |
| title_full | The art of differentiating computer programs an introduction to algorithmic differentiation Uwe Naumann |
| title_fullStr | The art of differentiating computer programs an introduction to algorithmic differentiation Uwe Naumann |
| title_full_unstemmed | The art of differentiating computer programs an introduction to algorithmic differentiation Uwe Naumann |
| title_short | The art of differentiating computer programs |
| title_sort | the art of differentiating computer programs an introduction to algorithmic differentiation |
| title_sub | an introduction to algorithmic differentiation |
| topic | Computer programs Automatic differentiations Sensitivity theory (Mathematics) Automatische Differentiation (DE-588)4314524-3 gnd Programm (DE-588)4047394-6 gnd |
| topic_facet | Computer programs Automatic differentiations Sensitivity theory (Mathematics) Automatische Differentiation Programm Einführung |
| url | https://doi.org/10.1137/1.9781611972078 |
| volume_link | (DE-604)BV045551481 |
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