Search

• < Previous
• 1
• Next >

---

Edit Distance for Pushdown Automata

Krishnendu Chatterjee ; Thomas A. Henzinger ; Rasmus Ibsen-Jensen ; Jan Otop.

The edit distance between two words $w_1, w_2$ is the minimal number of word operations (letter insertions, deletions, and substitutions) necessary to transform $w_1$ to $w_2$. The edit distance generalizes to languages $\mathcal{L}_1, \mathcal{L}_2$, where the edit distance from $\mathcal{L}_1$ to&nbsp;[&hellip;]

---

Exact and Approximate Determinization of Discounted-Sum Automata

Udi Boker ; Thomas A. Henzinger.

A discounted-sum automaton (NDA) is a nondeterministic finite automaton with edge weights, valuing a run by the discounted sum of visited edge weights. More precisely, the weight in the i-th position of the run is divided by $\lambda^i$, where the discount factor $\lambda$ is a fixed rational number&nbsp;[&hellip;]

---

Expressiveness and Closure Properties for Quantitative Languages

Krishnendu Chatterjee ; Laurent Doyen ; Thomas A Henzinger.

Weighted automata are nondeterministic automata with numerical weights on transitions. They can define quantitative languages~$L$ that assign to each word~$w$ a real number~$L(w)$. In the case of infinite words, the value of a run is naturally computed as the maximum, limsup, liminf, limit-average,&nbsp;[&hellip;]

---

Aspect-oriented linearizability proofs

Soham Chakraborty ; Thomas A. Henzinger ; Ali Sezgin ; Viktor Vafeiadis.

Linearizability of concurrent data structures is usually proved by monolithic simulation arguments relying on the identification of the so-called linearization points. Regrettably, such proofs, whether manual or automatic, are often complicated and scale poorly to advanced non-blocking concurrency&nbsp;[&hellip;]

---