Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Mathematica package for analysis and control of chaos in nonlinear systems
Computers in Physics
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
MATCONT: A MATLAB package for numerical bifurcation analysis of ODEs
ACM Transactions on Mathematical Software (TOMS)
Symbolic/numeric analysis of chaotic synchronization with a CAS
Future Generation Computer Systems
Numerical continuation of fold bifurcations of limit cycles in MATCONT
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
An algebraic method for analyzing open-loop dynamic systems
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Revisiting some control schemes for chaotic synchronization with mathematica
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Analyzing the synchronization of chaotic dynamical systems with mathematica: part I
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Analyzing the synchronization of chaotic dynamical systems with mathematica: part II
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Phase response curves, delays and synchronization in MATLAB
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
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In this paper, a new numerical-symbolic Matlabprogram for the analysis of three-dimensional chaotic systems is introduced. The program provides the users with a GUI (Graphical User Interface) that allows us to analyze any continuous three-dimensional system with a minimal input (the symbolic ordinary differential equations of the system along with some relevant parameters). Such an analysis can be performed either numerically (for instance, the computation of the Lyapunov exponents, the graphical representation of the attractor or the evolution of the system variables) or symbolically (for instance, the Jacobian matrix of the system or its equilibrium points). Some examples of the application of the program to analyze several chaotic systems are also given.