Fokker-Planck equations in the simulation of complex systems

DOI10.1016/0378-4754(94)90046-9zbMath0808.35179OpenAlexW2025076468MaRDI QIDQ1330674

Antonio García-Olivares, Antonio Muñoz

Publication date: 20 March 1995

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-4754(94)90046-9

zbMATH Keywords

algorithmGreen's functionFokker-Planck equationsimulation of synergetic, self-organizing and dynamical systems

Mathematics Subject Classification ID

Control/observation systems governed by partial differential equations (93C20) Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31) Perturbations of finite-dimensional Hamiltonian systems, normal forms, small divisors, KAM theory, Arnol'd diffusion (37J40) PDEs with randomness, stochastic partial differential equations (35R60) Ergodic theory (37A99) Software, source code, etc. for problems pertaining to partial differential equations (35-04)

Cites Work

• Unnamed Item
• Synergetics. An introduction. Nonequilibrium phase transitions and self-organization in physics, chemistry, and biology. 3rd rev. and enl. ed
• Information and self organization. A macroscopic approach to complex systems
• Stochastic processes in nonequilibrium systems. Sitges international school of statistical mechanics, June 1978, Sitges, Barcelona/Spain
• Concepts and models of a quantitative sociology. The dynamics of interacting populations
• A Theory of Stochastic Resonance in Climatic Change
• Handbook of stochastic methods for physics, chemistry and the natural sciences.

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