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SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to kojima-spop@is.titech.ac.jp if you have any question and/or request. We also release SparsePOPC++ and SparsePOPC++-windows. Both implementations are SparsePOP which does not use MATLAB, but only C++. In particular, SparsePOPC++-windows contains a binary file which works on Windows, and does not require to compile.

... in future versions please send me a message. The current version ChelomEx 1.2 from 06 January 2016 includes the following changes to the original version (ChelomEx 1.0): - function to filter discovered isotope patterns after the first analysis step (isotope pattern search), accessible in the Isotope Pattern toolbar (v1.2) - updates for compatibility with MatLab versions after 2014b (v1.2) - siderophore database update (v1.1) - can now also analyze negative mode data (v1.1) - bug fixes (v1.1)

The files contained in this distribution implement a computer vision system for the classification and interpretation of flag semaphore signals. Optionally, the message can be used to send and receive TCP/IP packets using the RFC 4824 protocol.