Applications of advances in nonlinear sensitivity analysis

Abstract

The following paper summarizes the major properties and applications of a collection of algorithms involving differentiation and optimization at minimum cost. The areas of application include the sensitivity analysis of models, new work in statistical or econometric estimation, optimization, artificial intelligence and neuron modelling. The details, references and derivations can be obtained by requesting „Sensitivity Analysis Methods for Nonlinear Systems“ from Forecast Analysis and Evaluation Team, Quality Assurance, OSS/EIA, Room 7413, Department of Energy, Washington, DC 20461.