Forecasting for complex nonlinear systems has proven to be elusive. Investigators have assumed the causes to be too little data and overly-simplified models. Recent studies in climatology reveal that nonlinear systems behave in ways quite different from the linear or static systems of traditional science and engineering. The behavior of nonlinear systems can be cyclical or essentially stochastic and usually is a mixture of both. New techniques, such as "attractors," are being devised to facilitate analysis. Methodologies must be applied with due consideration to the structure of the system under investigation.

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Date created

• 1985

Type

• Document

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• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

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• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

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11576afb39e5cd4a779a3912c119ca81

Scope and Contents

Part of

8cc5e98280358f60c3a33cc99e75a20e

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23d738ba88f8333bc39725f9cb5bd0b8

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Collection

System Dynamic Society Records

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Collecting area

• This collection is part of the University Archives