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

A graph labeling is an assignment of integers to the vertices or edges, or both, subject to certain conditions. Graph labelings were first introduced in the late 1960s. In the intervening years dozens of graph labelings techniques have been studied in over 1000 papers. Finding out what has been done for any particular kind of labeling and keeping up with new discoveries is difficult because of the sheer number of papers and because many of the papers have appeared in journals that are not widely available. In this survey I have collected everything I could find on graph labeling. For the convenience of the reader the survey includes a detailed table of contents and index.

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A Dynamic Survey of Graph Labeling

Proceedings of the American Mathematical Society

For the list object, introduced in Chapter 5, it was shown that each data element contains at most one predecessor element and one successor element. Therefore, for any given data element or node in the list structure, we can talk in terms of a next element and a previous element.

Graphs and Digraphs

Hub location in backbone/tributary network design: a review

In this survey we have attempted to bring together most of the results and papers that deal with toughness related to cycle structure. We begin with a brief introduction and a section on terminology and notation, and then try to organize the work into a few self explanatory categories. These categories are circumference, the disproof of the 2-tough conjecture, factors, special graph classes, computational complexity, and miscellaneous results as they relate to toughness. We complete the survey with some tough open problems!

Toughness in graphs - A survey

Recognizing tough graphs is NP-hard

https://ris.utwente.nl/ws/files/6736746/Bauer90long.pdf

Long cycles in graphs with large degree sums

The study of “optimally” locating on a network a single facility of a given total length in the form of a path or a tree was initiated by several authors. We extend these results to the problem of locating p (≥1) such facilities. We will consider “center”, “median”, “max eccentricity”, and “max distance sum” location type problems for p = 1 or p > 1, for general networks and for tree networks, whether a facility contains partial arcs or not, and whether a facility is path-shaped or tree-shaped. These cases lead to 64 problems. We will determine the algorithmic complexity of virtually all these problems. We conclude with a result that may be viewed as a generalization of the p-Median theorem. © 1993 by John Wiley & Sons, Inc.

On locating path‐ or tree‐shaped facilities on networks

Given a network N(V, E) and a set of points Xp = {x1, …, xp} on N, we first present an algorithm for computing the Voronoi partition of N(V, E) into territories T(x1), …, T(xp). After describing two ways to measure the “size” of a territory, we introduce and discuss the more challenging problem of selecting Xp so that the maximum size among the resulting territories is as small as possible. For one especially natural way to measure the size of a territory, we show that this latter problem is NP-complete when p is part of the input, but that the problem can be solved in polynomial time for any fixed p. INFORMS Journal on Computing, ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.

Edward F. Schmeichel

Papers

Toughness in graphs - A survey

Recognizing tough graphs is NP-hard

Long cycles in graphs with large degree sums

On locating path‐ or tree‐shaped facilities on networks

The Voronoi Partition of a Network and Its Implications in Location Theory