Advances in automatic differentiation:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2008
|
| Schriftenreihe: | Lecture notes in computational science and engineering
64 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVIII, 362 S. graph. Darst. |
| ISBN: | 9783540689355 |
Internformat
MARC
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|---|---|---|---|
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| 015 | |a 08,A33,0625 |2 dnb | ||
| 020 | |a 9783540689355 |c kart. :EUR 85.55 (freier Pr.), ca. sfr 133.00 (freier Pr.) |9 978-3-540-68935-5 | ||
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| 245 | 1 | 0 | |a Advances in automatic differentiation |c Christian H. Bischof ... eds |
| 264 | 1 | |a Berlin ; Heidelberg |b Springer |c 2008 | |
| 300 | |a XVIII, 362 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in computational science and engineering |v 64 | |
| 650 | 0 | 7 | |a Automatische Differentiation |0 (DE-588)4314524-3 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 2008 |z Bonn |2 gnd-content | |
| 689 | 0 | 0 | |a Automatische Differentiation |0 (DE-588)4314524-3 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Bischof, Christian H. |e Sonstige |4 oth | |
| 830 | 0 | |a Lecture notes in computational science and engineering |v 64 |w (DE-604)BV011386476 |9 64 | |
| 856 | 4 | 2 | |m Digitalisierung UB Augsburg |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025237796&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-025237796 | ||
Datensatz im Suchindex
| _version_ | 1804149427628146688 |
|---|---|
| adam_text | Contents
Preface
............................................................
V
List of Contributors
................................................ XIII
Reverse Automatic Differentiation of Linear Multistep Methods
Adrian
Sandu
.................................................... 1
Call Tree Reversal is NP-Complete
Uwe Naumann.................................................... 13
On Formal Certification of AD Transformations
Emmanuel M. Tadjouddine
.......................................... 23
Collected Matrix Derivative Results for Forward and Reverse Mode
Algorithmic Differentiation
Mike B. Giles
..................................................... 35
A Modification of Weeks Method for Numerical Inversion of the Laplace
Transform in the Real Case Based on Automatic Differentiation
Salvatore
Cuomo,
Luisa D
Amore,
Mariarosaria Rizzardi,
and Almerico Murli................................................ 45
A Low Rank Approach to Automatic Differentiation
Hany
S.
Abdel-Khalik, Paul
D.
Hovland, Andrew Lyons,
Tracy
E.
Stover,
and Jean
Utke
.................................................... 55
Algorithmic Differentiation of Implicit Functions and Optimal Values
Bradley M. Bell and James V. Burke
................................... 67
Using Programming Language Theory to Make Automatic
Differentiation Sound and Efficient
Barak A.
Pearlmutter
and Jeffrey Mark Siskind
.......................... 79
A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry
in Hessian Computational Graphs
Sanjukta Bhowmick and Paul D. Hovland
.............................. 91
On the Practical Exploitation of Scarsity
Andrew Lyons and Jean Utke
........................................103
Design and Implementation of a Context-Sensitive, Flow-Sensitive
Activity Analysis Algorithm for Automatic Differentiation
Jaewook Shin, Priyadarshini
Malusare,
and Paul D. Hovland
..............115
Efficient Higher-Order Derivatives of the Hypergeometric Function
Isabelle
Charpentier,
Claude
Dal Cappello,
and Jean Utke
................127
The
Diamant
Approach for an Efficient Automatic Differentiation
of the Asymptotic Numerical Method
Isabelle Charpentier, Arnaud
Lejeune, and Michel Potier-Ferry
.............139
Tangent-on-Tangent vs. Tangent-on-Reverse for Second Differentiation
of Constrained Functionals
Massimiliano Martinelli and Laurent
Hascoët
...........................151
Parallel Reverse Mode Automatic Differentiation for OpenMP Programs
with ADOL-C
Christian
Bischof,
Niels Guertler, Andreas Kowarz, and Andrea Walther
......163
Adjoints
for Time-Dependent Optimal Control
Jan Riehme, Andrea Walther,
Jörg
Stiller, and
Uwe Naumann...............175
Development and First Applications of TAC++
Michael
Voßbeck, Ralf
Giering,
and Thomas
Kaminski....................187
TAPENADE for
С
Valerie
Pascual
and Laurent
Hascoët
..................................199
Coping with a Variable Number of Arguments when Transforming
MATLAB
Programs
H. Martin
Bücker
and Andre Vehreschild
...............................211
Code Optimization Techniques in Source Transformations
for Interpreted Languages
H. Martin
Bücker, Monika
Petera,
and Andre Vehreschild
..................223
Automatic Sensitivity Analysis of DAE-systems Generated
from Equation-Based Modeling Languages
Atya Elsheikh
and Wolfgang Wiechert
.................................235
Index
Determination
in DAEs Using the
Library
indexdet
and the ADOL-C Package for Algorithmic Differentiation
Dagmar
Moneti,
René
Lamom,
and Andreas Griewank
....................247
Automatic Differentiation for GPU-Accelerated 2D/3D Registration
Markus Grabner,
Thomas Pock, Tobias Gross, and
Bernhard Kainz..........259
Robust Aircraft Conceptual Design Using Automatic Differentiation
in
Matlab
Mattia
Padulo,
Shaun A. Forth, and
Marin D.
Guenov
....................271
Toward Modular Multigrid Design Optimisation
Armen
Jaworski and
Jens-Dominik Müller .............................281
Large Electrical Power Systems Optimization Using Automatic
Differentiation
Fabrice Zaoui
....................................................293
On the Application of Automatic Differentiation to the Likelihood
Function for Dynamic General Equilibrium Models
Houtan Bastani and
Luca Guerrieri...................................
303
Combinatorial Computation with Automatic Differentiation
Koichi Kubota
....................................................315
Exploiting Sparsity in Jacobian Computation via Coloring and Automatic
Differentiation: A Case Study in a Simulated Moving Bed Process
Assefaw H. Gebremedhin, Alex Pothen, and Andrea Walther
................327
Structure-Exploiting Automatic Differentiation of Finite Element
Discretizations
Philipp
Stumm,
Andrea Walther, Jan Riehme, and
Uwe Naumann ...........339
Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged
Bipolar Junction Transistor via Automatic Differentiation
Eric T. Phipps, Roscoe A. Bartlett, David M. Gay, and Robert J.
Hoekstra
.... 351
|
| any_adam_object | 1 |
| building | Verbundindex |
| bvnumber | BV040384335 |
| classification_rvk | SK 910 |
| ctrlnum | (OCoLC)244067782 (DE-599)BVBBV040384335 |
| dewey-full | 518.53 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 518 - Numerical analysis |
| dewey-raw | 518.53 |
| dewey-search | 518.53 |
| dewey-sort | 3518.53 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Book |
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| genre | (DE-588)1071861417 Konferenzschrift 2008 Bonn gnd-content |
| genre_facet | Konferenzschrift 2008 Bonn |
| id | DE-604.BV040384335 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:22:52Z |
| institution | BVB |
| isbn | 9783540689355 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025237796 |
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| owner_facet | DE-384 |
| physical | XVIII, 362 S. graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computational science and engineering |
| series2 | Lecture notes in computational science and engineering |
| spelling | Advances in automatic differentiation Christian H. Bischof ... eds Berlin ; Heidelberg Springer 2008 XVIII, 362 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in computational science and engineering 64 Automatische Differentiation (DE-588)4314524-3 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2008 Bonn gnd-content Automatische Differentiation (DE-588)4314524-3 s DE-604 Bischof, Christian H. Sonstige oth Lecture notes in computational science and engineering 64 (DE-604)BV011386476 64 Digitalisierung UB Augsburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025237796&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Advances in automatic differentiation Lecture notes in computational science and engineering Automatische Differentiation (DE-588)4314524-3 gnd |
| subject_GND | (DE-588)4314524-3 (DE-588)1071861417 |
| title | Advances in automatic differentiation |
| title_auth | Advances in automatic differentiation |
| title_exact_search | Advances in automatic differentiation |
| title_full | Advances in automatic differentiation Christian H. Bischof ... eds |
| title_fullStr | Advances in automatic differentiation Christian H. Bischof ... eds |
| title_full_unstemmed | Advances in automatic differentiation Christian H. Bischof ... eds |
| title_short | Advances in automatic differentiation |
| title_sort | advances in automatic differentiation |
| topic | Automatische Differentiation (DE-588)4314524-3 gnd |
| topic_facet | Automatische Differentiation Konferenzschrift 2008 Bonn |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025237796&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV011386476 |
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