Distance Geometry: Theory, Methods, and Applications

Couverture
Antonio Mucherino, Carlile Lavor, Leo Liberti, Nelson Maculan
Springer Science & Business Media, 22 déc. 2012 - 420 pages

This volume is a collection of research surveys on the Distance Geometry Problem (DGP) and its applications. It will be divided into three parts: Theory, Methods and Applications. Each part will contain at least one survey and several research papers.

The first part, Theory, will deal with theoretical aspects of the DGP, including a new class of problems and the study of its complexities as well as the relation between DGP and other related topics, such as: distance matrix theory, Euclidean distance matrix completion problem, multispherical structure of distance matrices, distance geometry and geometric algebra, algebraic distance geometry theory, visualization of K-dimensional structures in the plane, graph rigidity, and theory of discretizable DGP: symmetry and complexity.

The second part, Methods, will discuss mathematical and computational properties of methods developed to the problems considered in the first chapter including continuous methods (based on Gaussian and hyperbolic smoothing, difference of convex functions, semidefinite programming, branch-and-bound), discrete methods (based on branch-and-prune, geometric build-up, graph rigidity), and also heuristics methods (based on simulated annealing, genetic algorithms, tabu search, variable neighborhood search).

Applications will comprise the third part and will consider applications of DGP to NMR structure calculation, rational drug design, molecular dynamics simulations, graph drawing and sensor network localization.

This volume will be the first edited book on distance geometry and applications. The editors are in correspondence with the major contributors to the field of distance geometry, including important research centers in molecular biology such as Institut Pasteur in Paris.

 

Table des matières

Contributors
A Euclidean Distance
Mixed Volume and Distance Geometry Techniques for Counting Euclidean
The Discretizable Molecular Distance Geometry Problem seems Easier
Is the Distance Geometry Problem in
A Topological Interpretation of the Walk Distances
Methods
Solving the Discretizable Molecular Distance Geometry Problem by Multiple
Global Optimization for Atomic Cluster Distance Geometry Problems
Solving Molecular Distance Geometry Problems Using a Continuous
A Simple Fast and Scalable Algorithm
Distance Geometry for Realistic Molecular Conformations
New Perspectives
Using a Distributed SDP Approach to Solve Simulated Protein Molecular
Historical
Index

An Eigenvector Synchronization Algorithm for the Graph Realization

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