probabilistic-numerics.org
Probabilistic Numerics.org
http://www.probabilistic-numerics.org/2014/09/01/Roundtable-ProbNum-ProbProg
For list of all posts). Jan 16, 2015. Connections, Part III: Bayesian Optimization. Jan 15, 2015. Connections, Part II: Stochastic numerical methods. Jan 14, 2015. Connections, Part I: Uncertainty Quantification. Sep 5, 2014. Sep 3, 2014. Tübingen Manifesto: Priors and Prior Work. Sep 1, 2014. Tübingen Manifesto: Probabilistic Numerics and Probabilistic Programming. Aug 27, 2014. Aug 22, 2014. Tübingen Manifesto: Probabilistic Numerics and Probabilistic Programming. By Michael A Osborne,. ProbProg seems ...
ecco.mit.edu
ECCO: Estimating the Circulation & Climate of the Ocean
http://ecco.mit.edu/automatic.htm
TANGENT LINEAR AND ADJOINT CODE GENERATION VIA AUTOMATIC DIFFERENTIATION. Is given in chapter 5 of the MITgcm Online Documentation. The current ocean state estimation effort may be considered to be among the most complex inverse modeling exercises attempted to date. It has placed the ECCO consortium. In a position to push the limits of AD, and given it experience and expertise to address questions as to where and how AD needs to be improved for large scale applications in the Earth sciences and beyond.
admb-project.org
ADMB Project
http://www.admb-project.org/tools
ADMB Project on Facebook. User-friendly development environment for AD Model Builder. Information about editors, syntax highlighting, etc. Tpl2cpp and tpl2rem are written in flex. Working with ADMB and R. Read the the contents of .cov/hes/psv files, on screen or into a file. Community Portal for Automatic Differentiation. R package: Generalized Linear Mixed Models with ADMB. A length-based, age and spatially-structured model for fisheries stock assessment. Original Commercial version of ADMB.
alexeyandrebecca.com
Introduction to Automatic Differentiation
http://www.alexeyandrebecca.com/ideas/2013/introduction-to-automatic-differentiation
The derivative, as this notion appears in the elementary differential calculus, is a familiar mathematical example of a function for which both [the domain and the range] consist of functions. Ndash;Alonzo Church, 1941. August 15, 2013. Said it very well:. This bears repeating: any derivative or gradient. Of any function you can program, or of any program. That computes a function, [*]. And ideal asymptotic efficiency. This is good for. Real-parameter optimization (many good methods are gradient-based).
aboutflow.sems.qmul.ac.uk
AboutFlow
http://www.aboutflow.sems.qmul.ac.uk/publications
A note on cookies. We use cookies to improve your experience of our website. If you want to find out more see our Privacy Policy. Gugala, M. Meyer, M and Mueller, J.D. TOWARDS AN OUTPUT-BASED RE-MESHING FOR TURBOMACHINERY APPLICATIONS. ECCOMAS Congress 2016, VII European Congress on Computational Methods in Applied Sciences and Engineering. Crete Island, Greece, 5–10 June 2016. Oriani, M., Pierrot, G., ALTERNATIVE SOLUTION ALGORITHMS FOR PRIMAL AND ADJOINT INCOMPRESSIBLE NAVIER-STOKES. Vol7, No.1, pp...
vonloesch.de
vonloesch.de |
http://www.vonloesch.de/index.html
TeXlipse update 1.2.0. Finally after over one year of silence we have released TeXlipse. V 120, a LaTeX editor plugin for Eclipse. Actually to some extend this release is owed to Windows Vista, because the previous one was incompatible. So we need to hurry a little bit to release a fresh version. This is mainly a bug fix release, which corrects over 30 bugs and should therefore be quite stable. Along came some new and funky features, at the head the usage of Open Declaration. Version: 0.10.2). I have tri...
dolfin-adjoint.org
dolfin-adjoint about
http://www.dolfin-adjoint.org/en/latest/about/index.html
The dolfin-adjoint project automatically derives the discrete adjoint and tangent linear models. From a forward model written in the Python interface to DOLFIN. Naumann (2011) states that. T]he automatic generation of optimal (in terms of robustness and efficiency) adjoint versions of large-scale simulation code is one of the great open challenges in the field of High-Performance Scientific Computing. The dolfin-adjoint project aims to solve this problem. Dolfin-adjoint has the following features:. The a...
sama.ipsl.jussieu.fr
Automatic Differentiation and Adjoint Calculation Softwares
http://sama.ipsl.jussieu.fr/Gb/themes/current/DiffSofts.html
Seminars, workshops and conferences. Auto Diff. Softwares. Seminars, workshops and conferences. Seminars, workshops and conferences. Automatic Differentiation and Adjoint Calculation Softwares. This theme is coordinated by To Be Determined. Softwares have been developped in the past few years to generate automatically the derivatives, the adjoint and the tangent linear of a model. The two main approaches are:. The Automatic Differentiation by Code Generation. The Operator Overloading Tools.
