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126,821 to 126,830 of 127,423 Results
Dennis Zink(Universität Stuttgart)
May 21, 2020CAD-CAM
CAD-CAM(Universität Stuttgart)
May 21, 2020Institute of Aircraft Design
Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC
May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation
Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/DARUS-741, DaRUS, V1
This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset because this dataset is not self-explanatory. The code.tar.gz file conta...
code.tar.gz
May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC
Gzip Archive - 143.7 KB - MD5: 434750ea8b39b02bc74c456d12660e5c
data.tar.gz
May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC
Gzip Archive - 580.8 MB - MD5: 3a5ff7270f32fae9c2890e2c94837ec0
Glycoside Hydrolase 19 Engineering Database(Universität Stuttgart)
May 18, 2020Bioinformatics
Supporting information and original files for bioinformatic investigations using the Glycoside Hydrolase 19 Engineering Database (https://gh19ed.biocatnet.de/)
SFB-TRR 161 A02 "Quantifying Visual Computing Systems"(Universität Stuttgart)
SFB-TRR 161 A02 "Quantifying Visual Computing Systems" logo
May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing"
The long-term goal of this project is to quantify visual computing systems, i.e.to assess, model and ultimately predict important characteristics that have a substantial impact on user experience.
SFB-TRR 161 INF "Collaboration Infrastructure"(Universität Stuttgart, Universität Konstanz)
SFB-TRR 161 INF "Collaboration Infrastructure" logo
May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing"
Project INF supports the other projects of SFB/Transregio 161 by providing a central approach to data management and an infrastructure for virtual meetings in a large, high-resolution display scenario.
Technical Information and Communication Services(Universität Stuttgart)
Apr 27, 2020
EICPModelCalibration(Universität Stuttgart)
Apr 24, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"
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