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The considered objectives jointly minimize the generalized expectation of the total transportation costs and the maximum travel time requirement in terms of generalized value-at-risk (VaR).
This contribution describes an extension of the ISI-SAGE (initialization-and-search-improved space-alternating generalized expectation maximization) algorithm originally published in (Fleury et al., 2002b) and (Fleury et al., 2002c) to include polarization estimation.
Space-alternating generalized expectation.
space alternating generalized expectation maximization.
From the theory of the generalized expectation, it is also defined by some BSDEs.
Recently, space alternating generalized expectation maximization (SAGE) has been proposed for ICI cancelation [18, 19].
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These are not confined to one or two aspects of life, but are generalized expectations for a good outcome in several areas.
An estimator based on the space alternating generalized expectation-maximization (SAGE) algorithm is also considered.
We slightly modify the second algorithm by using the improved space alternating generalized expectation-maximization (SAGE) [26] algorithm.
The first is based on the space-alternating generalized expectation-maximization (SAGE) algorithm [13], in which the DOAs of a given user are estimated sequentially instead of jointly.
Most of these maximization algorithms are based on iterative techniques such as the Space-Alternating Generalized Expectation-Maximization algorithm (SAGE) [7, 8] and Newton-type methods.
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