Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

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Convex Analysisの二,三の進展について

Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. The problem of designing data integration systems is important in current real world applications, and is characterized by a number of issues that are interesting from a theoretical point of view. This document presents on overview of the material to be presented in a tutorial on data integration. The tutorial is focused on some of the theoretical issues that are relevant for data integration. Special attention will be devoted to the following aspects: modeling a data integration application, processing queries in data integration, dealing with inconsistent data sources, and reasoning on queries.

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Data integration: a theoretical perspective

Optimization, approximation, and complexity classes

Implicit Definability on Finite Structures and Unambiguous Computations (Preliminary Report)

We investigate the computational complexity of counting the Hilbert basis of a homogeneous system of linear Diophantine equations. We establish lower and upper bounds on the complexity of this problem by showing that counting the Hilbert basis is #P-hard and belongs to the class #NP. Moreover, we investigate the complexity of variants obtained by restricting the number of occurrences of the variables in the system.

On the Complexity of Counting the Hilbert Basis of a Linear Diophnatine System

The simultaneous elementary E-matching problem for an equational theory E is to decide whether there is an E-matcher for a given system of equations in which the only nonconstant function symbols occurring in the terms to be matched are the ones constrained by the equational axioms of E. We study the computational complexity of simultaneous elementary matching problems for the equational theories A of semigroups, AC of commutative semigroups, and ACU of commutative monoids. In each case, we delineate the boundary between NP-completeness and solvability in polynomial time by considering two parameters, the number of equations in the systems and the number of constant symbols in the signature. Moreover, we analyze further the intractable cases of simultaneous elementary AC-matching and ACU-matching by also taking into account the maximum number of occurrences of each variable. Using combinatorial optimization techniques, we show that if each variable is restricted to having at most two occurrences, then several cases of simultaneous elementary AC-matching and ACU-matching can be solved in polynomial time.

Computational Complexity of Simultaneous Elementary Matching Problems

The ordered conjecture states that least fixed-point logic LFP is strictly more expressive than first-order logic FO on every infinite class of ordered finite structures. It has been established that either way of settling this conjecture would resolve open problems in complexity theory. In fact, this holds true even for the particular instance of the ordered conjecture on the class of BIT-structures, that is, ordered finite structures with a built-in BIT predicate. Using a well known isomorphism from the natural numbers to the hereditarily finite sets that maps BIT to the membership relation between sets, the ordered conjecture on BIT-structures can be translated to the problem of comparing the expressive power of FO and LFP in the context of finite set theory. The advantage of this approach is that we can use set-theoretic concepts and methods to identify certain fragments of LFP for which the restriction of the ordered conjecture is already hard to settle, as well as other restricted fragments of LFP that actually collapse to FO. These results advance the state of knowledge about the ordered conjecture on BIT-structures and contribute to the delineation of the boundary where this conjecture becomes hard to settle.

First-order logic vs. fixed-point logic in finite set theory

Query containment is a fundamental algorithmic task in database query processing and optimization. Under set semantics, the query-containment problem for conjunctive queries has long been known to be NP-complete. SQL queries, however, are typically evaluated under bag semantics and return multisets as answers, since duplicates are not eliminated unless explicitly specified. The exact complexity of the query-containment problem for conjunctive queries under bag semantics has been an outstanding and rather poorly understood open problem for twenty years. In fact, to this date, it is not even known whether conjunctive-query containment under bag semantics is decidable. The goal of this talk is to draw attention to this fascinating problem by presenting a comprehensive overview of old and not-so-old results about the complexity of the query-containment problem for conjunctive queries and their variants, under both set semantics and bag semantics.

Phokion G. Kolaitis

Papers

Implicit Definability on Finite Structures and Unambiguous Computations (Preliminary Report)

On the Complexity of Counting the Hilbert Basis of a Linear Diophnatine System

Computational Complexity of Simultaneous Elementary Matching Problems

First-order logic vs. fixed-point logic in finite set theory

The Query Containment Problem: Set Semantics vs. Bag Semantics.