By David Basin, Cas Cremers (auth.), Anuj Dawar, Helmut Veith (eds.)

This quantity constitutes the refereed court cases of the twenty fourth overseas Workshop on desktop technological know-how common sense, CSL 2010, held in Brno, Czech Republic, in August 2010. The 33 complete papers awarded including 7 invited talks, have been rigorously reviewed and chosen from 103 submissions. themes lined contain computerized deduction and interactive theorem proving, optimistic arithmetic and sort conception, equational common sense and time period rewriting, automata and video games, modal and temporal common sense, version checking, selection tactics, logical facets of computational complexity, finite version conception, computational facts conception, good judgment programming and constraints, lambda calculus and combinatory common sense, specific good judgment and topological semantics, area thought, database conception, specification, extraction and transformation of courses, logical foundations of programming paradigms, verification and application research, linear good judgment, higher-order good judgment, and nonmonotonic reasoning.

**Read Online or Download Computer Science Logic: 24th International Workshop, CSL 2010, 19th Annual Conference of the EACSL, Brno, Czech Republic, August 23-27, 2010. Proceedings PDF**

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**Extra resources for Computer Science Logic: 24th International Workshop, CSL 2010, 19th Annual Conference of the EACSL, Brno, Czech Republic, August 23-27, 2010. Proceedings**

**Example text**

By applying standard techniques to reduce functional programs to formulas, we obtain veriﬁcation conditions for find such as the following: (max(L) < v < min(R) ∧ e < v) →(e ∈ (L ∪ {v} ∪ R) ↔ e ∈ L) Such a formula belongs to our decidable class, and can be handled using the decision procedure that we present in the sequel. Figure 2 shows an example of lookup operation that ﬁnds the element of a given rank in a binary search tree. The veriﬁcation condition formulas for this example can be expressed in our logic and proved using our decision procedure; one example veriﬁcation condition is C = L∪{v}∪R∧max(L) < v < min(R) → lrange(C, card(L), card(L)+1) = {v}.

Bn }. Here Bn denotes the n-th direct power of B. A. Dawar and H. ): CSL 2010, LNCS 6247, pp. 32–33, 2010. c Springer-Verlag Berlin Heidelberg 2010 Tree Dualities for Constraint Satisfaction 33 6. e. we have both B → C and C → B, and there is a homomorphism g : C2 → C with g being an associative, commutative, and idempotent binary operation. References 1. : Constraint satisfaction problems of bounded width. In: FOCS 2009, pp. 595–603 (2009) 2. : Dualities for constraint satisfaction problems.

G. the addition of relation images to QFBAPA [YPK10]). As a concrete and natural example of an ordered domain into which other orders can be embedded, we consider the set of real numbers (we do prove theorems that show that the automated reasoning can be performed in terms of rational numbers that denote bounds of certain intervals). To support discrete orders, we introduce the set of integers as a speciﬁc subset. Therefore, we can specify that a given set contains only integers, whenever this is desirable.