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1,471 to 1,480 of 1,643 Results
efficient_update_exc.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 3.0 KB - MD5: ad621255d83ee65e9a2f3a55034d651f
efficient_update_rem.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 2.4 KB - MD5: 85aea056cea4c9180e5f666f09d848d3
LICENSE.txt
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
Plain Text - 1.3 KB - MD5: cddab5b1b6bdefbf6999b47d6716e93d
main.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 5.4 KB - MD5: a23af60ca9e21df107a776d0839a1624
redundancy.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 371 B - MD5: 49965bf008130599708afde40a195ce7
Source Code for Uncertainty-Aware Multidimensional Scaling
Aug 8, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"
Hägele, David; Krake, Tim, 2022, "Source Code for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/DARUS-2995, DaRUS, V1
This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language. UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to project a set of multivariate normal distributions to low-dimensional space...
uamds-core-0.0.2-jar-with-dependencies.jar
Aug 8, 2022 - Source Code for Uncertainty-Aware Multidimensional Scaling
application/java-archive - 1.6 MB - MD5: 27646e42ce06d907e9be697f4fe4c3ad
All-in-one Java library .jar file. Contains compiled classes, their .java sources, and dependency libraries.
uamds-src.tar.gz
Aug 8, 2022 - Source Code for Uncertainty-Aware Multidimensional Scaling
Gzip Archive - 27.2 KB - MD5: 90d4d720ac5024af8fab2b95c82a65df
Tarball archive containing the Java project with build and readme files.
Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group"
Jul 20, 2022 - SFB 1333 C6 - Holm group, ICP
Tischler, Ingo; Holm, Christian; Schlaich, Alexander, 2022, "Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group"", https://doi.org/10.18419/DARUS-1371, DaRUS, V1
All primary data files and processed data of the journal article from C6 group. It contains the simulation and analysis scripts, the ESPResSo commit and a patch to it, with which the data was produced.
ana.py
Jul 20, 2022 - Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group"
Python Source Code - 4.0 KB - MD5: 28fccaf3a93f62ff3ac4528afacf4d68
Analysis script to process the trajectories to gather the end to end distance distribution.
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