Chaotic evolution and strange attractors :
Ruelle, David,
Chaotic evolution and strange attractors : the statistical analysis of time series for deterministic nonlinear systems / Chaotic Evolution & Strange Attractors David Ruelle ; notes prepared by Stefano Isola from the Lezioni Lincee, Rome, May 1987. - Cambridge : Cambridge University Press, 1989. - 1 online resource (xi, 96 pages) : digital, PDF file(s). - Lezioni lincee . - Lezioni lincee. .
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
This book, based on lectures given at the Accademia dei Lincei, is an accessible and leisurely account of systems that display a chaotic time evolution. This behaviour, though deterministic, has features more characteristic of stochastic systems. The analysis here is based on a statistical technique known as time series analysis and so avoids complex mathematics, yet provides a good understanding of the fundamentals. Professor Ruelle is one of the world's authorities on chaos and dynamical systems and his account here will be welcomed by scientists in physics, engineering, biology, chemistry and economics who encounter nonlinear systems in their research.
9780511608773 (ebook)
Differentiable dynamical systems.
Ergodic theory.
Chaotic behavior in systems.
Attractors (Mathematics)
QA614.8 / .R83 1989
515.3/5
Chaotic evolution and strange attractors : the statistical analysis of time series for deterministic nonlinear systems / Chaotic Evolution & Strange Attractors David Ruelle ; notes prepared by Stefano Isola from the Lezioni Lincee, Rome, May 1987. - Cambridge : Cambridge University Press, 1989. - 1 online resource (xi, 96 pages) : digital, PDF file(s). - Lezioni lincee . - Lezioni lincee. .
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
This book, based on lectures given at the Accademia dei Lincei, is an accessible and leisurely account of systems that display a chaotic time evolution. This behaviour, though deterministic, has features more characteristic of stochastic systems. The analysis here is based on a statistical technique known as time series analysis and so avoids complex mathematics, yet provides a good understanding of the fundamentals. Professor Ruelle is one of the world's authorities on chaos and dynamical systems and his account here will be welcomed by scientists in physics, engineering, biology, chemistry and economics who encounter nonlinear systems in their research.
9780511608773 (ebook)
Differentiable dynamical systems.
Ergodic theory.
Chaotic behavior in systems.
Attractors (Mathematics)
QA614.8 / .R83 1989
515.3/5