| 1. Please load the asymmetric tensor field from "ocean/data/ocean.vti". The (1,1), (1,2), (2,1) and (2,2) entries are respectively given by the arrays A, B, C, and D |
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| 2. Compute the eigenvector partition of the dataset. |
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| 3. Save the degenerate points as "ocean/results/{agent_mode}/ocean_points.vtk" in legacy VTK format. |
| Include a point array called DegeneracyType which classifies each degenerate point. |
| It should have a value of 0 for trisectors and 1 for wedges. |
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| 4. Save the partition information from the eigenvector partition as "ocean/results/{agent_mode}/ocean_eigenvector.vti" as VTK image data. |
| It should have a point array called "Partition" that stores the region identifiers as follows: |
| 0: W_{c,s}. 1: W_{r,s}. 2: W_{r,n}. 3: W_{c,n} |
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| 5. Compute the eigenvalue partition of the dataset. |
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| 6. Save the partition information from the eigenvalue partition as "ocean/results/{agent_mode}/ocean_eigenvalue.vti" as VTK image data. |
| It should have a point array called "Partition" that stores the region identifiers as follows: |
| 0: positive scaling. 1: counterclockwise rotation. 2: negative scaling. 3: clockwise rotation. 4: anisotropic stretching. |
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| 7. Analyze the visualization and answer the following questions: |
| Q1: Are there more trisectors than wedges? (yes/no) |
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| Q2: How many points have the most common classification in the eigenvector partition? |
| (A) 752342 (B) 802842 (C) 826348 (D) 994682 |
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| Q3: Which is the least common classification in the eigenvalue partition? |
| (A) Positive scaling (B) counterclockwise rotation (C) negative scaling (D) clockwise rotation |
| Save the answers to the analysis questions in plain text as "ocean/results/{agent_mode}/answers.txt". |
