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License: MIT License

1,471 to 1,480 of 1,647 Results

heat_accumulation_AM.py Nov 7, 2022 - Python implementation of heat accumulation equations for additive manufacturing Python Source Code - 10.9 KB - MD5: 8b81775ff2d408c217d897d3fc4384ae
Matlab Implementation of Efficient Updates of Redundancy Matrices Oct 12, 2022 - Institute for Structural Mechanics Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1 This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.
data_generation.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 4.3 KB - MD5: 1b3b70f42e43c508e7ed7300083c0fe6
efficient_update_add.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 2.1 KB - MD5: ed091981b374757a35d100b80d75d23f
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...

heat_accumulation_AM.py

Nov 7, 2022 - Python implementation of heat accumulation equations for additive manufacturing

Python Source Code - 10.9 KB -

Matlab Implementation of Efficient Updates of Redundancy Matrices

Oct 12, 2022 - Institute for Structural Mechanics

Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1

This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.

data_generation.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 4.3 KB -

efficient_update_add.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 2.1 KB -

efficient_update_exc.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 3.0 KB -

efficient_update_rem.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 2.4 KB -

LICENSE.txt

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

Plain Text - 1.3 KB -

main.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 5.4 KB -

redundancy.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 371 B -

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...

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