# Difference: AVFLogA012LeastSquares (12 vs. 13)

#### Revision 132015-03-27 - AlexanderFedotov

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 META TOPICPARENT name="AVFedotovLogA"
-- AlexanderFedotov - 2015-03-03
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that are complementary to indices in .

Consider the following iterative procedure.

Changed:
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>

1. Make N steps or, equivalently, iterations for , thus finding vectors by minimizing over at the step :
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\beta^{(k)}_i = \left\{ \begin{array}{rl}
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<
(\hat{ \beta }_{(g_k)})_i & \text{if } i \in g_k ,\
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(\hat{ \beta }_{(g_k)}^{(k)})_i & \text{if } i \in g_k ,\

Changed:
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where is the "point"
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where is the "point"
where as a function of parameters , takes minimum (while the rest parameters are fixed at the values obtained in the previous iteration:
Changed:
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<
)
1. Repeat (4.3) infinitly, defining for
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) .
1. Repeat (4.1.3) infinitly, defining for
(i.e. ) . One can expect that

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