Sub-three approximation in truly subquadratic time
Determine whether a (3−ε)-approximation for ordinary edit distance can be obtained in truly subquadratic time for some absolute constant ε>0, and more ambitiously whether a (1+ε)-approximation can be obtained in truly subquadratic time for every fixed ε>0.
References
Can one obtain a $(3-\varepsilon)$-approximation in truly subquadratic time for some absolute constant $\varepsilon>0$? Our correction pays for losses that vanish with the input length. Saving a fixed fraction of the total cost would require new ideas. The approximation scheme of Mao and Rubinstein makes a step in this direction from a different starting point but their time complexity of $N2/2{\log{\Omega(1)}N}$ is not truly subquadratic. More ambitiously, can one obtain a $(1+\varepsilon)$-approximation in truly subquadratic time for every fixed $\varepsilon>0$? No known fine-grained lower bound even excludes $(1+\varepsilon)$-approximation in $(N)$ time for any fixed positive $\varepsilon$.
Can the sampling in these algorithms be replaced so as to obtain a deterministic constant-factor approximation in truly subquadratic time? This remains a natural question even for unit costs.
Can the $(1+\varepsilon)$-approximation of Mao--Rubinstein be extended to arbitrary metric weights with a saving of the form $2{\log{\Omega(1)}N}$ over quadratic time? Such a result would address a different tradeoff from the truly subquadratic factor-three algorithms considered here. Logarithmic savings are known for exact weighted edit distance over a constant-size alphabet: Crochemore, Landau, and Ziv-Ukelson achieve $(N2/\log N)$ time with unrestricted real-valued scoring matrices. This does not give an alphabet-independent speedup in our metric-oracle model. A weaker target is a $(1+\varepsilon)$-approximation in $(N2/\logc N)$ time for some constant $c>0$ and every fixed $\varepsilon>0$, independently of the alphabet size and the numerical range of the costs.