SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"

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1 to 10 of 86 Results

Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material Mar 13, 2024 Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/DARUS-3845, DaRUS, V1 In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess.
original_figures_vector_graphics.zip Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material ZIP Archive - 13.0 MB - MD5: aae79d286d67e0ea4141af1fad6f7a6c
UASTL_Appendix.pdf Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material Adobe PDF - 239.4 KB - MD5: 0f8973f44fedf84ffed820a06bb85987
UASTL_Video_material.pdf Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material Adobe PDF - 9.6 MB - MD5: 327040ca48b3a6cda103e433db91cda3
UASTL_Video_sensitivity_analysis.mp4 Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material MPEG-4 Video - 327.7 MB - MD5: f7e177000c2ca92ad460fe053c0f1d14
UASTL_Video_sensitivity_analysis.srt Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material application/x-subrip - 9.0 KB - MD5: e870ee29337057520cddbc0be413d408
Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material Feb 6, 2024 Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/DARUS-3451, DaRUS, V1 We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits. An anonymized print-out of the preregistration. The original preregi...
supplemental.zip Feb 6, 2024 - Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material ZIP Archive - 43.2 MB - MD5: d0501539741da97ba2cce24a4f743e59
Matlab Implementation of Efficient Computation of Redundancy Matrices Jun 16, 2023 - Institute for Structural Mechanics Tkachuk, Anton; Krake, Tim; Gade, Jan; von Scheven, Malte, 2023, "Matlab Implementation of Efficient Computation of Redundancy Matrices", https://doi.org/10.18419/DARUS-3347, DaRUS, V1 This is a Demo for the manuscript 'Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frames Structures' that demonstrates the speedup of the proposed algorithms. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.
compute_diagonal_entries_eff.m Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 901 B - MD5: f744027d3a7d0929f9d4653cb3f833d2 efficient algorithm for diagonal entries

Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

Mar 13, 2024

Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/DARUS-3845, DaRUS, V1

In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess.

original_figures_vector_graphics.zip

Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

ZIP Archive - 13.0 MB -

UASTL_Appendix.pdf

Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

Adobe PDF - 239.4 KB -

UASTL_Video_material.pdf

Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

Adobe PDF - 9.6 MB -

UASTL_Video_sensitivity_analysis.mp4

Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

MPEG-4 Video - 327.7 MB -

UASTL_Video_sensitivity_analysis.srt

Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

application/x-subrip - 9.0 KB -

Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material

Feb 6, 2024

Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/DARUS-3451, DaRUS, V1

We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits. An anonymized print-out of the preregistration. The original preregi...

supplemental.zip

Feb 6, 2024 - Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material

ZIP Archive - 43.2 MB -

Matlab Implementation of Efficient Computation of Redundancy Matrices

Jun 16, 2023 - Institute for Structural Mechanics

Tkachuk, Anton; Krake, Tim; Gade, Jan; von Scheven, Malte, 2023, "Matlab Implementation of Efficient Computation of Redundancy Matrices", https://doi.org/10.18419/DARUS-3347, DaRUS, V1

This is a Demo for the manuscript 'Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frames Structures' that demonstrates the speedup of the proposed algorithms. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.

compute_diagonal_entries_eff.m

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 901 B -

efficient algorithm for diagonal entries

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