"FEKT VUT v Brn\u011B" . "Estimating dimension of state space attractors"@cs . "Vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Brn\u011B. Fakulta elektrotechniky a komunika\u010Dn\u00EDch technologi\u00ED" . "3"^^ . "Brno" . "The geometry of chaotic attractors can be complex and difficult to describe without some mathematical tool. The topic of this contribution is the realization of program for comput-ing the dimensions of state space attractors. We can also find out if the system is highly sensitive to initial conditions. First we need to numerically integrate system of equations, create a data set and finally we can estimate the capacity or Kaplan-Yorke dimension. The main objective of derived program is to analyze and determine chaotic behavior providing a chance to discuss the accuracy of computation engine and theoretical value."@cs . "S" . "Estimating dimension of state space attractors" . "1"^^ . "RIV/00216305:26220/08:PU74462" . . . . "2008-04-24+02:00"^^ . "The geometry of chaotic attractors can be complex and difficult to describe without some mathematical tool. The topic of this contribution is the realization of program for comput-ing the dimensions of state space attractors. We can also find out if the system is highly sensitive to initial conditions. First we need to numerically integrate system of equations, create a data set and finally we can estimate the capacity or Kaplan-Yorke dimension. The main objective of derived program is to analyze and determine chaotic behavior providing a chance to discuss the accuracy of computation engine and theoretical value." . "The geometry of chaotic attractors can be complex and difficult to describe without some mathematical tool. The topic of this contribution is the realization of program for comput-ing the dimensions of state space attractors. We can also find out if the system is highly sensitive to initial conditions. First we need to numerically integrate system of equations, create a data set and finally we can estimate the capacity or Kaplan-Yorke dimension. The main objective of derived program is to analyze and determine chaotic behavior providing a chance to discuss the accuracy of computation engine and theoretical value."@en . "State attractors, dimension, fractals."@en . . "Estimating dimension of state space attractors"@cs . . . "G\u00F6tthans, Tom\u00E1\u0161" . "26220" . "978-80-214-3614-5" . "Estimating dimension of state space attractors" . . . . "Proceedings of the 14th Conference STUDENT EEICT 2008" . . . "[71A63FDB1E44]" . "Estimating dimension of state space attractors"@en . "366522" . . "Estimating dimension of state space attractors"@en . . . "1"^^ . "RIV/00216305:26220/08:PU74462!RIV10-MSM-26220___" . .