Distance Geometry: Theory, Methods and Applications is the first collection of research surveys dedicated to distance geometry and its applications. The first part of the book discusses theoretical aspects of the Distance Geometry Problem (DGP), where the relation between DGP and other related subjects are also presented. Covered topics include distance matrix theory, Euclidean distance matrix completion, multispherical structure of distance matrices, geometric algebra, algebraic distance geometry theory, visualization of Kdimensional structures in the plane, graph rigidity, and theory of discretizable DGP. The second part of this volume presents mathematical and computational properties of methods developed to the problems discussed in the first portion. Applications comprise the third part of the book, which is mainly devoted to the application of DGP to NMR structure calculation. This is an important and strongly multidisciplinary application in biology and biomedicine. 

Data Mining in Agriculture is a textbook describing the latest developments in data mining with applications to problems arising in agriculture. The book is for students, researchers and anyone interested in data mining techniques and/or agriculture. The whole book is written in a simple style, and many examples and exercises are provided for helping the reader understand the discussed topics. Many codes in MATLAB implementing some of the discussed data mining techniques are presented, and an entire application in C programming language for the implementation of a clustering technique is also provided. 

Distance Geometry and Applications
is a special issue of DAM devoted to the distance geometry problem and to its applications.
The issue (number 197) collects 12 papers, and is composed by 144 pages. 

Proceedings of the
8th CologneTwente Workshop on Graphs and Combinatorial Optimization (CTW09) 

Proceedings of
Distance Geometry and Applications (DGA13) 

