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Summary. An ascent exchange algorithm for computing the strict Chebyshev solution to general systems of linear equations is presented. It uses generalized exchange rules to ensure convergence and splits up the entire system into subsystems by means of a canonical decomposition of a matrix obtained by Gaussian elimination methods. All updating procedures are developed and several numerical examples illustrate the efficiency of the algorithm.

SUMMARYA combined logical-statistical approach is suggested here for endocrine physiopathological inference. The prior knowledge of the endocrine system is formalized by a Boolean model. Boolean equations are solved to estimate prior probability distributions. A Bayesian strategy, taking into account the observational errors, is used to solve a specific endocrine problem.

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