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1. 1▶Every Second of My LifeEvery Second of My Life1:53
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2. 2▶Blog Theme Improvementsplip blogNotes
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3. 3▶GONostalgic4:13
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4. 4▶SAMENostalgic3:54
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5. 5▶NOSTALGICNostalgic4:19
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6. 6▶SWEATSNostalgic3:46
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7. 7▶TOMORROWNostalgic3:09
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8. 8▶A Second Course in Algorithms (Lecture 15: Introduction to Approximation Algorithms)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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9. 9▶A Second Course in Algorithms (Lecture 14: Online Bipartite Matching)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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10. 10▶A Second Course in Algorithms (Lecture 13: Online Scheduling and Online Steiner Tree)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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11. 11▶A Second Course in Algorithms (Lecture 12: Applications of Multiplicative Weights to Games and LPs)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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12. 12▶A Second Course in Algorithms (Lecture 11: Online Learning and the Multiplicative Weights Algorithm)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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13. 13▶A Second Course in Algorithms (Lecture 10: The Minimax Theorem & Algorithms for Linear Programming)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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14. 14▶A Second Course in Algorithms (Lecture 9: Linear Programming Duality --- Part 2)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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15. 15▶A Second Course in Algorirthms (Lecture 8: Linear Programming Duality --- Part 1)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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16. 16▶A Second Course in Algorithms (Lecture 7: Linear Programming: Introduction and Applications)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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17. 17▶A Second Course in Algorithms (Lecture 6: Generalizations of Maximum Flow and Bipartite Matching)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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18. 18▶A Second Course in Algorithms (Lecture 5: Minimum-Cost Bipartite Matching)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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19. 19▶A Second Course in Algorithms (Lecture 4: Applications of Maximum Flows and Minimum Cuts)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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20. 20▶A Second Course in Algorithms (Lecture 3: The Push-Relabel Algorithm for Maximum Flow)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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21. 21▶A Second Course in Algorithms (Lecture 2: Augmenting Path Algorithms for Maximum Flow)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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22. 22▶A Second Course in Algorithms (Lecture 1: Course Goals and Introduction to Maximum Flow)A Second Course in Algorithms (Stanford CS261, Winter 2016)Notes
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