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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
A LaTeX document class for lecture notes (for a seminar, for an entire course with several lectures, or for brief talks) that looks great and works even with basic pdflatex.
Academic master (flutterfundamentals) is E-learning app where students can share their doubts wiith their peers they can chat and also they can find their notes
This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.