Evolutionary computing

This is more for overview of my own than for teaching or exercise. Overview of the math's areas Arithmetic · 'elementary mathematics' and similar concepts Set theory, Category theory Geometry and its relatives · Topology Elementary algebra - Linear algebra - Abstract algebra Calculus and analysis Logic Semi-sorted : Information theory · Number theory · Decision theory, game theory · Recreational mathematics · Dynamical systems · Unsorted or hard to sort Math on data: Statistics as a field some introduction · areas of statistics types of data · on random variables, distributions Virtues and shortcomings of... on sampling · probability glossary · references, unsorted Footnotes on various analyses Other data analysis, data summarization, learning Data modeling, restructuring, and massaging Statistical modeling · Classification, clustering, decisions, and fuzzy coding · dimensionality reduction · Optimization theory, control theory · State observers, state estimation Connectionism, neural nets · Evolutionary computing More applied: Formal grammars - regular expressions, CFGs, formal language Signal analysis, modeling, processing Image processing notes

Evolutionary computing

See also

• http://en.wikipedia.org/wiki/Gaussian_mixture_model
• http://www.csse.monash.edu.au/~dld/mixturemodel.html