Abstract
Abstract Recent research has shown that probabilistic and non-probabilistic dynamic programming techniques can be applied beneficially in the solution of optimal design and management problems in surveying. The survey design system is presented. A non-probabilistic dynamic programming solution of a second order, one dimensional optimal survey design problem is outlined and some applications of Bayesian dynamic programming to survey logistics and management problems are demonstrated. A useful 'technology transfer' technique is included to illustrate one method of introducing systems theory and operations research to survey engineering.
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