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2017 | Buch

Euclidean Distance Geometry

An Introduction

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Über dieses Buch

This textbook, the first of its kind, presents the fundamentals of distance geometry: theory, useful methodologies for obtaining solutions, and real world applications. Concise proofs are given and step-by-step algorithms for solving fundamental problems efficiently and precisely are presented in Mathematica®, enabling the reader to experiment with concepts and methods as they are introduced. Descriptive graphics, examples, and problems, accompany the real gems of the text, namely the applications in visualization of graphs, localization of sensor networks, protein conformation from distance data, clock synchronization protocols, robotics, and control of unmanned underwater vehicles, to name several. Aimed at intermediate undergraduates, beginning graduate students, researchers, and practitioners, the reader with a basic knowledge of linear algebra will gain an understanding of the basic theories of distance geometry and why they work in real life.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Motivation
Abstract
This book is a basic introduction to Distance Geometry (DG): it gives an overview of the mathematical theory of DG. Our point of view derives from our motivation to apply DG methods to the problem of finding the structure of proteins given some of the interatomic distances.
Leo Liberti, Carlile Lavor
Chapter 2. The Distance Geometry Problem
Abstract
The Distance Geometry Problem (DGP) is an inverse problem. The corresponding “direct problem” is to compute some pairwise distances of a given set of points. Whereas the direct problem is obviously trivial (just carry out the computation), the inverse problem is generally difficult to solve.
Leo Liberti, Carlile Lavor
Chapter 3. Realizing complete graphs
Abstract
In this chapter, we consider the DGP on a very specific class of graphs: the (K + 1)-cliques, i.e., complete graphs on K + 1 vertices, where K is the dimension of the embedding space \(\mathbb {R}^{K}\).
Leo Liberti, Carlile Lavor
Chapter 4. Discretizability
Abstract
We remarked in Sect. 2.​5.​1 that direct methods, which search for solutions in the continuous space \(\mathbbm {R}^{Kn}\) of all realizations, do not always work all that well. In Chap. 3, we discussed a discrete method for realizing complete graphs in polytime. In this chapter, we look at larger classes of graphs for which the search space can be shown to be discrete.
Leo Liberti, Carlile Lavor
Chapter 5. Molecular distance geometry problems
Abstract
The Molecular Distance Geometry Problem (MDGP) [86] is the subclass of DGP instances with K=3. Since the DGP is NP-hard for each K [107], the MDGP is also NP-hard.
Leo Liberti, Carlile Lavor
Chapter 6. Vertex orders
Abstract
In this chapter, we address the question: given a graph, does it have a trilateration order? And if so, is it contiguous? Unlike the DGP, which is not known to be in NP, these order existence problems are both in NP: if a graph is a YES instance, a suitable vertex order can be verified to be correct in polytime, by simply checking that it has enough adjacent predecessors.
Leo Liberti, Carlile Lavor
Chapter 7. Flexibility and rigidity
Abstract
In this chapter we discuss rigidity and flexibility of graph frameworks
Leo Liberti, Carlile Lavor
Chapter 8. Approximate realizations
Abstract
In this chapter, we propose some methods for realizing large graphs. These methods do not explicitly rely on the adjacency structure of the graph, and are mostly based on linear algebra.
Leo Liberti, Carlile Lavor
Chapter 9. Taking DG further
Abstract
We wrote this last chapter in order to give our readers some sense of the direction that the DG field is taking today.
Leo Liberti, Carlile Lavor
Backmatter
Metadaten
Titel
Euclidean Distance Geometry
verfasst von
Dr. Leo Liberti
Prof. Dr. Carlile Lavor
Copyright-Jahr
2017
Electronic ISBN
978-3-319-60792-4
Print ISBN
978-3-319-60791-7
DOI
https://doi.org/10.1007/978-3-319-60792-4