Algorithm_TravelingSalesperson | 實踐大學影音平台

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Algorithm_TravelingSalesperson

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2017-12-27,
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1. Traveling Salesperson Optimization Problem
2. The Traveling Salesperson Optimization Problem
3. A reduced cost matrix
4. Another reduced matrix
5. The highest level of a decision tree: If we use arc 3-5 to split, the difference on the lower bounds is 17 + 1 = 18.
6. Another reduced matrix
7. The highest level of a decision tree: If we use arc 3-5 to split, the difference on the lower bounds is 17 + 1 = 18.
8. Another reduced matrix
9. The highest level of a decision tree: If we use arc 3-5 to split, the difference on the lower bounds is 17 + 1 = 18.
10. Another reduced matrix
11. The highest level of a decision tree: If we use arc 3-5 to split, the difference on the lower bounds is 17 + 1 = 18.
12. A reduced cost matrix if arc (4,6) is included in the solution.
13. The reduced cost matrix for all solutions with arc 4-6.Total cost reduced: 96 + 3 = 99 (new lower bound).
14. A reduced cost matrix if arc (4,6) is included in the solution.
15. The reduced cost matrix for all solutions with arc 4-6.Total cost reduced: 96 + 3 = 99 (new lower bound).
16. Slide 8

1. Algorithms
1.1

Algorithm_ch1
2. Time Complexity
2.1

Algorithm_ch2
3. Insertion Sort
3.1

Straight Insertion Sort
3.2

Insertion Table
3.3

The average Case of Insertion
4. Selection
4.1

Algorithm_selection_1
4.2

Algorithm_selection_2
5. Binary Search
5.1

Binary Search
5.2

Binary Search 2
5.3

Binary Search 3
6. Spanningtree
6.1

Algorithm_spanningtree
7. Prim
7.1

Algorithm_prim
8. 2 Way Merge
8.1

Algorithm_2waymerge
9. Huffman
9.1

Algorithm_huffman
10. Divide and conquer
10.1

Algorithm_divideandconquer
10.2

Divide and Conquer-Convex Hull Part-1
11. 2D max finding
11.1

Algorithm_2dmaxfinding
12. Closest pair
12.1

Algorithm_closestpair
13. Tree Searching
13.1

Algorithm_TreeSearching
13.2

Algorithm_TreeSearching_2
14. Prune and Search
14.1

Prune and Search Part-1
14.2

Prune and Search Part-2
14.3

Prune and Search Exercise
15. Branch and Bound
15.1

Branch-and-Bound 0/1 Knapsack
15.2

Algorithm_BranchandBound
15.3

A* Algorithm for the Shortest Path Problem
16. Personnel Assignment
16.1

Algorithm_PersonnelAssignment
17. Traveling Salesperson
17.1

Branch-and-Bound TSP Part-1
17.2

Branch-and-Bound TSP Part-2
17.3

Algorithm_QuickSort_1
17.4

Algorithm_QuickSort_2Pivot
17.5

Algorithm_TravelingSalesperson
17.6

慈濟-PaGamO-競賽之盾
17.7

慈濟線上競賽之盾
17.8

慈濟20210829線上競賽之盾
17.9

慈濟線上競賽之盾-新增班級及預建GoogleMeet
17.10

alg0505
17.11

alg0526
17.12

alg0609_bb_1
17.13

alg0609_bb_2

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