Определение минимума ошибки с использованием критериев выбора модели при решении обратной задачи методом случайных проекций

Abstract

The analysis of decisions exactness of discrete ill-posed inverse problem by random projections method has been performed. Random projections method with model selection criteria has shown accuracy similar to Tikhonov regularization.