ENUMERATIVE CLASSIFICATION OF SCANNING PROBE MICROSCOPY DATA
Institute of Problems of Machine Science of the Russian Academy of Sciences, St. Petersburg; Chief Scientific Officer
P. P. Kovalenko
ITMO University, Department of Mechatronics; Associate Professor
S. Y. Perepelkina
ITMO University, Saint Petersburg, 197101, Russian Federation; Associate Professor
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Abstract. A new method for enumerative classification of scanning probe microscopy data is proposed. The method is based on Morse polynomials and capabilities of enumerative combinatorial analysis.
Keywords:
classification of scanning probe microscopy data, Morse polynomials, permutations
