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25S-STATS-102B-LEC-3 S25 Midterm Exam- Requires Respondus LockDown Browser

Multiple choice

Continuing from the question above, one may introduce a step length parameter, ๐›ผ , into the formula as follows: ๐‘Š ๐‘˜ = ๐‘Š ๐‘˜ โˆ’ 1 + ๐›ผ ๐‘‘ ๐‘˜ โˆ’ 1 Please select all the correct answers below.

Options
A.It is necessary to normalize the direction vector d when introducing the length parameter.
B.We may set ๐›ผ = 1 / ๐‘˜ ย at the _k-th iteration, which shortens the step length as the process progresses. Fortunately, this approach will still reach the optimum in practice, as long as the iterations continue.
C.Adding a length parameter may result in more iterations to reach an optimum.
D.When applying the diminishing step-size rule, the total distance traveled by the algorithm tends to infinity, provided the process continues indefinitely.
E.The length parameter should be a value between 0 and 1.
F.The length parameter can be any positive value.
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Step-by-Step Analysis
On this question, weโ€™re evaluating statements about introducing a step length parameter ฮฑ into the iterative update W_k = W_{k-1} + ฮฑ d_{k-1}. Option 1: It is necessary to normalize the direction vector d when introducing the length parameter. - This claim is not generally true. The step length ฮฑ already controls how far you move along direction d; you can leave d unnormalized and choose ฮฑ accordingly, or you can normalize d and keep ฮฑ as a separate scale. Normalization of d is not a strict necessity for introducing ฮฑ, though in practice some algorithms choose to work with unit direction for stability. What matters most is the product ฮฑ d, not whether d itself is normalized. Option 2: We may s......Login to view full explanation

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