Bonn Mathematics

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381 to 390 of 431 Results

shell_undeformed_hessian.cpp Dec 13, 2023 - An Implementation of Nonlinear Discrete Shell Energies C++ Source - 2.1 KB - MD5: 3f0ab2534b227a434280dab5a25c1604
Replication Data for: Improved guarantees for the a priori TSP Sep 20, 2023 Blauth, Jannis; Neuwohner, Meike; Puhlmann, Luise; Vygen, Jens, 2023, "Replication Data for: Improved guarantees for the a priori TSP", https://doi.org/10.60507/FK2/JCUIRI, bonndata, V1 Dual linear programming solutions and Python scripts that verify their feasibility. The dual linear programs for which feasible solutions are provided can be found in the provided README files. The linear programming solutions yield upper bounds on the approximability of the a priori traveling salesperson problem. For further details, see the paper...
README_master_route_ratio.pdf Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP Adobe PDF - 234.2 KB - MD5: fbce80bb3ba69fbd6cb290d7730490f6
README_sampling.pdf Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP Adobe PDF - 216.5 KB - MD5: fe41d6ff67503e5372d460b7c79a4b82
sol_mrr_lp.txt Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP Plain Text - 844.9 KB - MD5: a58137ba067177cf4e06a4ee4cb83130
sol_sampling_lp.txt Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP Plain Text - 48.4 MB - MD5: dd97be50c8ce78b4e42e88d49e4e7a5a
sol_sampling_lp_alpha1.txt Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP Plain Text - 49.6 MB - MD5: 7b194efe8ddaaebcf8d4d71776f55a38
verifier_master_route_ratio.ipynb Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP Jupyter Notebook - 9.9 KB - MD5: 30e31c7a2d54cb71e23acd6a6d771a6a
verifier_sampling.ipynb Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP Jupyter Notebook - 16.1 KB - MD5: f7cb442527dcec3d0bad84ec5f5ae59e
Implementation of An Elastic Basis for Spectral Shape Correspondence Jun 30, 2023 Hartwig, Florine; Sassen, Josua; Azencot, Omri; Rumpf, Martin; Ben Chen, Mirela, 2023, "Implementation of An Elastic Basis for Spectral Shape Correspondence", https://doi.org/10.60507/FK2/DXOEHJ, bonndata, V1 An implementation of a spectral non-isometric correspondence method that aligns extrinsic features using a functional map approach. To this end, we propose and use a novel crease-aware spectral basis derived from the Hessian of an elastic thin shell energy.

shell_undeformed_hessian.cpp

Dec 13, 2023 - An Implementation of Nonlinear Discrete Shell Energies

C++ Source - 2.1 KB -

Replication Data for: Improved guarantees for the a priori TSP

Sep 20, 2023

Blauth, Jannis; Neuwohner, Meike; Puhlmann, Luise; Vygen, Jens, 2023, "Replication Data for: Improved guarantees for the a priori TSP", https://doi.org/10.60507/FK2/JCUIRI, bonndata, V1

Dual linear programming solutions and Python scripts that verify their feasibility. The dual linear programs for which feasible solutions are provided can be found in the provided README files. The linear programming solutions yield upper bounds on the approximability of the a priori traveling salesperson problem. For further details, see the paper...

README_master_route_ratio.pdf

Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP

Adobe PDF - 234.2 KB -

README_sampling.pdf

Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP

Adobe PDF - 216.5 KB -

sol_mrr_lp.txt

Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP

Plain Text - 844.9 KB -

sol_sampling_lp.txt

Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP

Plain Text - 48.4 MB -

sol_sampling_lp_alpha1.txt

Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP

Plain Text - 49.6 MB -

verifier_master_route_ratio.ipynb

Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP

Jupyter Notebook - 9.9 KB -

verifier_sampling.ipynb

Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP

Jupyter Notebook - 16.1 KB -

Implementation of An Elastic Basis for Spectral Shape Correspondence

Jun 30, 2023

Hartwig, Florine; Sassen, Josua; Azencot, Omri; Rumpf, Martin; Ben Chen, Mirela, 2023, "Implementation of An Elastic Basis for Spectral Shape Correspondence", https://doi.org/10.60507/FK2/DXOEHJ, bonndata, V1

An implementation of a spectral non-isometric correspondence method that aligns extrinsic features using a functional map approach. To this end, we propose and use a novel crease-aware spectral basis derived from the Hessian of an elastic thin shell energy.

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