Iterative projection methods may become trapped at non-solutions when the constraint sets are nonconvex. Two kinds of parameters are available to help avoid this behavior and this study gives examples of both. The first kind of parameter, called a hyperparameter, includes any kind of parameter that appears in the definition of the iteration rule itself. The second kind comprises metric parameters in the definition of the constraint sets, a feature that arises when the problem to be solved has two or more kinds of variables. Through examples we show the importance of properly tuning both kinds of parameters and offer heuristic interpretations of the observed behavior.

翻译：当约束装置是非混凝土时,迭代预测方法可能会被困在非溶解处。有两种参数可以帮助避免这种行为,本研究提供了两种例子。第一种参数称为超参数,包括迭代规则定义本身中出现的任何参数。第二种参数包括约束装置定义中的衡量参数,当要解决的问题有两种或多种变量时,就会产生两种或两种以上变量。我们通过实例表明适当调整两种参数和对观察到的行为提供超常解释的重要性。