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Background:Forecasting nonlinear stochastic systems most often is quite difficult, without giving in to temptations to simply simplify models for the sake of permitting simple computations.Objective:Here, two basic algorithms, Adaptive Simulated Annealing (ASA) and path-integral codes...
Persistent link: https://www.econbiz.de/10012823194
Background: Forecasting nonlinear stochastic systems most often is quite difficult, without giving in to temptations to simply simplify models for the sake of permitting simple computations.Objective: Here, two basic algorithms, Adaptive Simulated Annealing (ASA) and path-integral codes...
Persistent link: https://www.econbiz.de/10013249728