2D Data Modeling by Probability Distribution
نویسنده
چکیده
Applied science and mechanics need mathematical methods for 2D processes modeling using the set of data points. A novel method of Hurwitz-Radon Matrices (MHR) is used in 2D curve modeling. Proposed method is based on the family of Hurwitz-Radon matrices which possess columns composed of orthogonal vectors. Two-dimensional process is modeled via different functions: sine, cosine, tangent, logarithm, exponent, arc sin, arc cos, arc tan and power function. Keywords— process modeling, Hurwitz-Radon matrices, coefficient of MHR method, mathematical modeling
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