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2fceaa7d95
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25f18db567 |
@ -174,10 +174,10 @@ def rucksack_branch_and_bound_algorithm(
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if verbose:
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repr = display_branch_and_bound(values=values, steps=logged_steps);
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repr_rucksack = display_rucksack(items=items[rucksack], costs=costs[rucksack], values=values[rucksack], choice=np.asarray(mask.choice)[rucksack]);
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print('\x1b[1mLösung\x1b[0m');
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print('');
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print(repr);
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print('');
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print('\x1b[1mLösung\x1b[0m');
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print('');
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print(f'Mask: [{", ".join(map(str, soln.choice))}]');
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print('Rucksack:');
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print(repr_rucksack);
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Before Width: | Height: | Size: 139 KiB |
BIN
notes/img/embed_rucksack_1a.png
Normal file
After Width: | Height: | Size: 82 KiB |
BIN
notes/img/embed_rucksack_1b.png
Normal file
After Width: | Height: | Size: 141 KiB |
Before Width: | Height: | Size: 170 KiB After Width: | Height: | Size: 244 KiB |
Before Width: | Height: | Size: 102 KiB After Width: | Height: | Size: 190 KiB |
@ -6,9 +6,11 @@
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- Greedyalgorithmus
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- Branch & Bound
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### Beispielausführungen von B&B - Problem aus Folien ###
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### Beispielausführungen von Greedy vs. B&B - Problem aus Folien ###
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### Beispielausführungen von B&B - Problem aus Vorlesung ###
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