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Solved TravelingSalesManProblem Using DynamicProgramming(memoization) #5687
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In the above code, we implement a solution to the Traveling Salesman Problem (TSP) using dynamic programming with memoization. The algorithm calculates the shortest possible route that visits a set of cities exactly once and returns to the starting city by recursively exploring all possible paths and storing the results of subproblems to avoid redundant calculations. The program outputs both the minimum cost of the tour and the optimal path taken.
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #5687 +/- ##
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+ Coverage 64.10% 66.73% +2.63%
- Complexity 4195 4484 +289
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Files 586 608 +22
Lines 16372 16913 +541
Branches 3158 3264 +106
============================================
+ Hits 10495 11287 +792
+ Misses 5448 5180 -268
- Partials 429 446 +17 ☔ View full report in Codecov by Sentry. |
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Please remove main and add JUnit tests
Hi I have made the changes mentioned by you pls accept the changes |
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See https://github.com/TheAlgorithms/Java/tree/master/src/test/java/com/thealgorithms for test examples, they must be in a different place and with .java file extension
removed test and put in seperate file
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In the above code, we implement a solution to the Traveling Salesman Problem (TSP) using dynamic programming with memoization. The algorithm calculates the shortest possible route that visits a set of cities exactly once and returns to the starting city by recursively exploring all possible paths and storing the results of subproblems to avoid redundant calculations. The program outputs both the minimum cost of the tour and the optimal path taken.
clang-format -i --style=file path/to/your/file.java