Solving Inverse Problems by Combination of Maximum Entropy and Montecarlo Simulation
نویسنده
چکیده
The montecarlo method, which is quite commonly used to solve maximum entropy problems in statistical physics, can actually be used to solve inverse problems in a much wider context. The probability distribution which maximizes entropy can be calculated analytically by introducing Lagrange parameters. The problem of xing these lagrangean parameters is circumvented by introduction of a microcanonical ensemble which describes a system together with its heath bath.
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تاریخ انتشار 2007