**Two special issues (DAM & JOGO) dedicated to Distance Geometry**

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**Following the Distance Geometry Theory and Applications (DGTA16) workshop, organized at DIMACS last July 2016 <http://dimacs.rutgers.edu/Workshops/Distance/>, we are calling for contributions to two special journal issues dedicated to the topics of the workshop, but open to everyone: one in Discrete Applied Mathematics (DAM) and the other in the Journal of Global Optimization (JOGO). Both of these issues will be co-edited by:**

**- Farid Alizadeh (Rutgers University, USA)**

**- Douglas Goncalves (Universidade Federal de Santa Catarina, Brazil)**

**- Nathan Krislock (Northern Illinois University, USA)**

**- Leo Liberti (CNRS & Ecole Polytechnique, France).**

**Distance Geometry (DG) in its broader definition is the study of geometry mostly based on distances between entities. More specifically, DG is the study of metric spaces. Its main problem is the DG Problem (DGP), which is an inverse problem that occurs frequently in many applications, such as, e.g., sensor localization in wireless networks, synchronization protocols, determination of protein structure (or nanostructures) through NMR data, localization of fleets of autonomous underwater vehicles, flexibility or reach of robotic structures, rigidity of architectural structures, and more. Given an integer K and a graph G=(V,E) with weights d_ij on the edges {i,j}, the problem is to determine positions x_i (for each vertex i) in a K-dimensional Euclidean space such that, for each edge {i,j} the length of the segment between x_i and x_j and is exactly, or approximately, the given distance d_ij. By "length of segment" we mean the Euclidean norm, but there are applications that call for the use of other norms. Related fields include embeddings of metric spaces with some distortion, the restricted isometry property, Erdos' distances problem.**

**The DAM special issue is especially suitable to papers with elements of combinatorics, or purely theoretical papers. The JOGO special issue is more suitable to papers in nonlinear optimization, particularly if they involve many (or mainly) continuous decision variables, and if they have a computational section. These are only guidelines, as JOGO has some purely theoretical papers stemming from combinatorial optimization, and DAM has some papers on (essentially) continuous optimization with lots of computational experiments. Both are excellent journals in their respective fields. JOGO's impact factor is higher than DAM's, but DAM is more established in the mathematical community.**

**The submission deadline is 31st December 2016, but we are ready to make (some) concessions if you need (some) more time. Submissions are made through the respective web editorial managers:**

**- DAM (Elsevier): <http://ees.elsevier.com/dam>**

**- JOGO (Springer): <http://www.editorialmanager.com/jogo>**

**In both systems, one of the first screens after specifying the title asks you for "paper type". This is where you MUST click on the "DGTA16 special issue" (or similar label), since otherwise the paper will go directly to the Editor-in-Chief rather than to our issue. The refereeing process will involve at least two referees per paper. You do not need to specify a list of possible referees. As soon as a submission comes in, it will be handled. So if your paper is ready, submit it now rather than close to deadline! For transparency: submissions co-authored by one of the guest co-editors will be handled by the Editors-in-Chief of the target journal, and the process will be completely hidden from the guest editorial board.**

**Feel free to get in touch with any of us if you want to ask us for advice on your submission. In general, a heads up about a paper you want to submit to these issues is welcome!**

**Farid Alizadeh**

**Douglas Goncalves**

**Nathan Krislock**

**Leo Liberti**