Then in class he would take me aside and teach me the equations for probability theory, which led me later to be able to
understand chaos theory.
Those that
understand chaos theory (nonlinear dynamics) were less surprised by the difficult markets that we have faced.
Not exact matches
Along with the evolution of science from a rather simplistic linear Newtonian perspective to a less reductionistic
chaos theory (which should really be called complexity
theory) has come a new
understanding of miracles.
Modeling is one of the things that led to an
understanding of
chaos theory.
This is not directly
chaos theory so I
understand if it's deleted.
In this post, we will try to explain a little about
chaos theory, and its relevance to our attempts to
understand and forecast the climate system.
This revolution has brought new
understanding of nonlinear dynamics, complex systems,
chaos theory, catastrophe
theory.
I hope that by now most have
understood that from the mathematical point of view temporal
chaos theory is about solutions of non linear ODEs and spatio - temporal
chaos about solutions of non linear PDEs.
It is not a prediction — independent of the underlying physical causes of Pacific climate variability, an
understanding of the PDO and ENSO as behaving like a complex and dynamic system in
chaos theory emerged from a 2007 study by Tsonis et al..
I am no
chaos theory practitioner but as I
understand it — models of chaotic systems are intended only to show the spatial limits and the attractors within etc..
We have been focused on climate models rather than on climate dynamics and
theory that is needed to
understand the effects of the sun on climate, the network of natural internal variability on multiple time scales, the mathematics of extreme events, and the predictability of a complex system characterized by spatio - temporal
chaos.
You clearly didn't
understand the point that knowing when to apply
chaos theory is, ipso facto, the unique solution you deny is necessary to scientific meaning.
`... rather than on climate dynamics and
theory that is needed to
understand the effects of the sun on climate, the network of natural internal variability on multiple time scales, the mathematics of extreme events, and predictability of a complex system characterized by spatio - temporal
chaos.
«The only thing I am reasonably sure of is that there will be no progress in
understanding (spatio - temporal
chaos theory) be it via
chaos or not as long as people will insist on the crutches of functions / series that are only time dependent.»
Butterflies and bifurcations: Can
chaos theory contribute to our
understanding of family systems?