A simplified construction of nonlinear Davenport—Schinzel sequences
Journal of Combinatorial Theory Series A
Sharp upper and lower bounds on the length of general Davenport-Schinzel Sequences
Journal of Combinatorial Theory Series A
Superlinear bounds for matrix searching problems
Journal of Algorithms
Generalized Davenport-Schinzel sequences with linear upper bound
Discrete Mathematics - Topological, algebraical and combinatorial structures; Froli´k's memorial volume
Davenport-Schinzel sequences and their geometric applications
Davenport-Schinzel sequences and their geometric applications
Efficiency of a Good But Not Linear Set Union Algorithm
Journal of the ACM (JACM)
Finding Cores of Limited Length
WADS '97 Proceedings of the 5th International Workshop on Algorithms and Data Structures
Swapping a failing edge of a shortest paths tree by minimizing the average stretch factor
Theoretical Computer Science
Splay trees, Davenport-Schinzel sequences, and the deque conjecture
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Geometric applications of Davenport-Schinzel sequences
SFCS '86 Proceedings of the 27th Annual Symposium on Foundations of Computer Science
Weak ε-nets and interval chains
Journal of the ACM (JACM)
Improved bounds and new techniques for Davenport--Schinzel sequences and their generalizations
Journal of the ACM (JACM)
Generalized Davenport-Schinzel sequences and their 0-1 matrix counterparts
Journal of Combinatorial Theory Series A
Tight bounds on the maximum size of a set of permutations with bounded VC-dimension
Journal of Combinatorial Theory Series A
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One of the oldest unresolved problems in extremal combinatorics is to determine the maximum length of Davenport-Schinzel sequences, where an order-s DS sequence is defined to be one over an n-letter alphabet that avoids alternating subsequences of the form a ··· b ··· a ··· b ··· with length s+2. These sequences were introduced by Davenport and Schinzel in 1965 to model a certain problem in differential equations and have since become an indispensable tool in computational geometry and the analysis of discrete geometric structures. Let DS{s}(n) be the extremal function for such sequences. What is DS{s} asymptotically? This question has been answered satisfactorily (by Hart and Sharir, Agarwal, Sharir, and Shor, and Nivasch) when s is even or s ≤ 3. However, since the work of Agarwal, Sharir, and Shor in the 1980s there has been a persistent gap in our understanding of the odd orders, a gap that is just as much qualitative as quantitative. In this paper we establish the following bounds on DS{s}(n) for every order s. DS{s}(n) = {n, s=1; 2n-1, s=2; 2nα(n) + O(n), s=3; Θ(n2α(n)), s=4; Θ(nα(n)2α(n)), s=5; n2(1 + o(1))αt(n)/t!, s ≥ 6, ; t = ⌊(s-2)/2⌋ These results refute a conjecture of Alon, Kaplan, Nivasch, Sharir, and Smorodinsky and run counter to common sense. When $s$ is odd, DS{s} behaves essentially like DS{s-1}.