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Information Analysis and 2D Point Extrapolation using Method of Hurwitz-Radon Matrices
        
        Information  analysis  needs  suitable  methods  of curve  extrapolation.  Proposed  method  of  Hurwitz-Radon  Matrices 
(MHR)  can  be  used  in  extrapolation  and  interpolation  of  curves  in  the  plane.  For  example  quotations  from  the  Stock 
Exchange,  the  market  prices  or  rate  of  a  currency  form  a  curve.  This  paper  contains  the  way  of  data  anticipation  and 
extrapolation  via  MHR  method  and  decision  making:  to  buy  or  not,  to  sell  or  not.  Proposed  method  is  based  on  a  family  of 
Hurwitz-Radon  (HR)  matrices.  The  matrices  are  skew-symmetric  and  possess  columns  composed  of  orthogonal  vectors.  The 
operator of Hurwitz-Radon (OHR), built from these matrices, is described. Two-dimensional information is represented by the 
set  of  curve  points.  It  is  shown  how  to  create  the  orthogonal  and  discrete  OHR  and  how  to  use  it  in  a  process  of  data 
foreseeing  and  extrapolation.  MHR  method  is  interpolating  and  extrapolating  the  curve  point  by  point  without  using  any 
formula or function.    
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[24] Watson J., Strategy-An Introduction to Game Theory, University of California, San Diego, 2002. Dariusz Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish-Japanese Institute of Information Technology, Warsaw, Poland. From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.
