Automatic differentiation

Results: 51



#Item
31arXiv:1211.5590v1 [cs.SC] 23 Nov[removed]Theano: new features and speed improvements Fr´ed´eric Bastien, [removed] Pascal Lamblin, [removed]

arXiv:1211.5590v1 [cs.SC] 23 Nov[removed]Theano: new features and speed improvements Fr´ed´eric Bastien, [removed] Pascal Lamblin, [removed]

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Source URL: arxiv.org

Language: English - Date: 2012-11-25 21:00:02
32CALCULATING KEY RATIOS FOR FINANCIAL PRODUCTS USING AUTOMATIC DIFFERENTIATION AND MONTE CARLO SIMULATION ESBEN BISTRUP HALVORSEN  Abstract. A library for higher order, multivariate automatic differentiation

CALCULATING KEY RATIOS FOR FINANCIAL PRODUCTS USING AUTOMATIC DIFFERENTIATION AND MONTE CARLO SIMULATION ESBEN BISTRUP HALVORSEN Abstract. A library for higher order, multivariate automatic differentiation

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Source URL: hiperfit.dk

Language: English
33Statistical Machine Learning  Notes 8 Automatic Differentiation and Neural Networks Instructor: Justin Domke

Statistical Machine Learning Notes 8 Automatic Differentiation and Neural Networks Instructor: Justin Domke

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2011-11-07 14:35:35
34AUTODIF A C++ Array Language Extension with Automatic Differentiation for Use in Nonlinear Modeling and Statistics Version[removed]) Revised manual[removed])

AUTODIF A C++ Array Language Extension with Automatic Differentiation for Use in Nonlinear Modeling and Statistics Version[removed]) Revised manual[removed])

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Source URL: ftp.admb-project.org

Language: English - Date: 2015-01-07 15:49:00
35Statistical Machine Learning  Notes 7 Automatic Differentiation and Neural Networks Instructor: Justin Domke

Statistical Machine Learning Notes 7 Automatic Differentiation and Neural Networks Instructor: Justin Domke

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2011-11-07 14:35:36
36AUTODIF A C++ Array Language Extension with Automatic Differentiation for Use in Nonlinear Modeling and Statistics Version[removed]) Revised manual[removed])

AUTODIF A C++ Array Language Extension with Automatic Differentiation for Use in Nonlinear Modeling and Statistics Version[removed]) Revised manual[removed])

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Source URL: ftp.admb-project.org

Language: English - Date: 2015-01-07 15:49:00
37OpenAD/F: User Manual J. Utke U. Naumann A. Lyons draft vers. hg:65776b2019f3+:118+ compiled on March 15, 2014 with

OpenAD/F: User Manual J. Utke U. Naumann A. Lyons draft vers. hg:65776b2019f3+:118+ compiled on March 15, 2014 with

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Source URL: www.mcs.anl.gov

Language: English - Date: 2014-03-15 02:34:40
38Projet ANR-Blanc STIC :  EVA-Flo : Évaluation et Validation Automatique pour le calcul Flottant New Automatic Tools for Validated Floating-point Computations Implementation

Projet ANR-Blanc STIC : EVA-Flo : Évaluation et Validation Automatique pour le calcul Flottant New Automatic Tools for Validated Floating-point Computations Implementation

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Source URL: www.ens-lyon.fr

Language: English - Date: 2010-03-24 08:54:49
39PRISM Seminar Series – Spring 2009 Efficient Computation of Sparse Jacobians and Hessians  Using Automatic Differentiation Dr. Assefaw Gebremedhin Purdue University Computing Research Institute and D

PRISM Seminar Series – Spring 2009 Efficient Computation of Sparse Jacobians and Hessians  Using Automatic Differentiation Dr. Assefaw Gebremedhin Purdue University Computing Research Institute and D

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Source URL: www.purdue.edu

Language: English
40Flow, Turbulence and Combustion 65: 393–415, 2000. © 2001 Kluwer Academic Publishers. Printed in the Netherlands[removed]An Introduction to the Adjoint Approach to Design

Flow, Turbulence and Combustion 65: 393–415, 2000. © 2001 Kluwer Academic Publishers. Printed in the Netherlands[removed]An Introduction to the Adjoint Approach to Design

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Source URL: piercelab.caltech.edu

Language: English - Date: 2010-09-08 02:56:23