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| author | Divay Prakash <divayprakash@users.noreply.github.com> | 2018-11-01 12:39:26 +0530 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-11-01 12:39:26 +0530 |
| commit | ef60c77540f820e2d1303cdb3cd8d177f54e2a4b (patch) | |
| tree | c44893bb0c35e81a8422e9454c303f0bb330713b /fr-fr | |
| parent | 00ebcdc55c0ec3dd2f6b8dafc190c9a85a26b114 (diff) | |
| parent | 0838b7203a481d2bfb82f03bb6f6dbe54ed8bbb2 (diff) | |
Merge pull request #3381 from LukaxFeh/master
[Dynamic programming/FR and NL] Fixed links
Diffstat (limited to 'fr-fr')
| -rw-r--r-- | fr-fr/dynamic-programming-fr.html.markdown | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/fr-fr/dynamic-programming-fr.html.markdown b/fr-fr/dynamic-programming-fr.html.markdown index 54cca001..ea547dae 100644 --- a/fr-fr/dynamic-programming-fr.html.markdown +++ b/fr-fr/dynamic-programming-fr.html.markdown @@ -42,9 +42,9 @@ Le même concept peut être appliqué pour trouver le chemin le plus long dans u ### Problèmes classiques de programmation dynamique -- L'algorithme de Floyd Warshall(EN) - Tutorial and C Program source code: [http://www.thelearningpoint.net/computer-science/algorithms-all-to-all-shortest-paths-in-graphs---floyd-warshall-algorithm-with-c-program-source-code]() -- Problème du sac à dos(EN) - Tutorial and C Program source code: [http://www.thelearningpoint.net/computer-science/algorithms-dynamic-programming---the-integer-knapsack-problem]() -- Plus longue sous-chaîne commune(EN) - Tutorial and C Program source code : [http://www.thelearningpoint.net/computer-science/algorithms-dynamic-programming---longest-common-subsequence]() +- [L'algorithme de Floyd Warshall(EN) - Tutorial and C Program source code](http://www.thelearningpoint.net/computer-science/algorithms-all-to-all-shortest-paths-in-graphs---floyd-warshall-algorithm-with-c-program-source-code) +- [Problème du sac à dos(EN) - Tutorial and C Program source code](http://www.thelearningpoint.net/computer-science/algorithms-dynamic-programming---the-integer-knapsack-problem) +- [Plus longue sous-chaîne commune(EN) - Tutorial and C Program source code](http://www.thelearningpoint.net/computer-science/algorithms-dynamic-programming---longest-common-subsequence) ## Online Resources |