CitedEvidence
User Settings
Open AccessArticle10.7498/aps.50.606

ON NUMERICAL PREDICTABILITY IN THE CHAOS SYSTEM

Guolin Feng,Dai Xin-gang,Aihui Wang,Chou Jifan,(1)兰州大学大气科学系,兰州730000; (2)扬州大学理学院物理系,扬州225009-2001-01-01-Acta Physica Sinica
74

TL;DRAbstract

The rounding-off error introduces uncertainty in the numerical solution. A computational uncertainty principle was explained by using climate model and the Rossler and super chaos system, and the maximally effective computation time and optimal stepsize are discussed. Under optimal stepsize in solving nonlinear ordinary differential equations, self-memorization equations of chaos systems constitute a new approach to numerical weather prediction.

Chat with Paper

AI Agents for this Paper

The rounding-off error introduces uncertainty in the numerical solution. A computational uncertainty principle was explained by using climate model and the Rossler and super chaos system, and the maximally effective computation time and optimal stepsize are discussed. Under optimal stepsize in solving nonlinear ordinary differential equations, self-memorization equations of chaos systems constitute a new approach to numerical weather prediction.

Keywords

PredictabilityCHAOS (operating system)Nonlinear systemApplied mathematicsComputer scienceOrdinary differential equationComputationRound-off error

Chat

Click to start Chat