A Personal History (With Karp Reductions!)
summary
Chronological takeaways: the Held-Karp subtour LP remains the fundamental relaxation for TSP and modern solvers like Concord now solve instances up to ~25,000 cities; a constructive algorithm for cubic bipartite graphs returns a TSP tour of size at most 9n/7 - 2 by finding a cycle cover with few cycles and stitching a spanning tree; the online bipartite ranking method gives the classic constant-factor guarantee for adversarial arrivals, while a greedy reduction yields a 1/2-competitive policy for omni-channel order allocation and a matching hardness rules out improvement unless NP = RP.
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chapters (16)
- 0:00Intro
- 0:28Enjoying a nice day
- 1:44Learning UNIX
- 2:38Fast Forward
- 3:09Linear Programming Relaxation
- 4:21Concord Solver
- 4:49Traveling Salesman
- 5:42Barnetts Conjecture
- 5:56polynomial time algorithm
- 6:08general approach
- 7:03omnichannel retailing
- 8:23optimization problems
- 9:00Karpov
- 9:16Graph
- 11:14Online Problem
- 17:46Conclusion
