MATHEMATICAL PROGRAMMING Series B Special issue on POLYNOMIAL OPTIMIZATION FINAL Call for Papers Polynomial Optimization (PO) refers to optimization problems in which all objective and constraint functions are polynomials. Such problems form an important and remarkably general class of NP-hard global optimization problems. A fascinating feature of PO is that it can be approached from several different directions. Indeed, in addition to traditional techniques drawn from operational research, computer science and numerical analysis, new techniques have recently emerged based on concepts taken from algebraic geometry, commutative algebra and moment theory. For this reason, PO is a rapidly expanding field. We are pleased to announce this special issue of Mathematical Programming Series B on PO, the deadline for which is 30th November 2013. We welcome papers on all aspects of PO, whether concerned with theory, applications, algorithms or software. Since we expect a large number of submissions, all papers that we receive will be refereed to a high standard. Papers that are deemed to be of high quality, yet are not included in the special issue, may be forwarded to either Mathematical Programming Series A or Mathematical Programming Computation for consideration (with the agreement of both the authors and the respective editor-in-chief). Manuscripts must be submitted on-line via: http://www.editorialmanager.com/mapr/ When prompted to Choose Article Type, please select "S.I. : Polynomial Optimization - Series B" from the menu. Due to limits in page volume, we request that initial submissions be no more than 25 pages in length. We also request that papers use the standard Springer LaTeX style "svjour3". The necessary files are available at: www.eng.cam.ac.uk/~dr241/MPB/MPB-Springer-latex-style-files.zip<http://www.eng.cam.ac.uk/~dr241/MPB/MPB-Springer-latex-style-files.zip>. Many thanks in advance for your contributions to this special issue. The guest editors: Jean-Bernard Lasserre (LAAS-CNRS, Toulouse) Adam Letchford (Lancaster, UK) Pablo Parrilo (MIT) David Steurer (Cornell).