Advances in Automatic Differentiation / Lecture Notes in Computational Science and Engineering Bd.64 (PDF)
This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and...
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization.
- 2008, 2008, 368 Seiten, Englisch
- Herausgegeben: Christian H. Bischof, H. Martin Bücker, Paul Hovland, Uwe Naumann, Jean Utke
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540689427
- ISBN-13: 9783540689423
- Erscheinungsdatum: 17.08.2008
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 6.62 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Advances in Automatic Differentiation / Lecture Notes in Computational Science and Engineering Bd.64".
Kommentar verfassen