A heuristic search procedure that selects a node in its search tree for expansion such that the selected node has minimum value of the sum of the cost to reach the node plus a heuristic cost value for that node, where the heuristic cost underestimates the true minimum cost of completion. In stochastic or Monte Carlo simulation, a method for sampling from a given difficult target probability distribution by sampling from a distribution that is close to the target distribution and relatively easy to sample but possibly rejecting the generated output. Sometimes just called the rejection method.
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Assignment Problem. (2013). In Encyclopedia of Operations Research and Management Science (pp. 83–84). Springer US. https://doi.org/10.1007/978-1-4419-1153-7_200965
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