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The path of steepest ascent is usually computed assuming that the model is truly first order; that is, there is no interaction. However, even if there is interaction, steepest ascent ignoring the interaction still usually produces good results. To illustrate, suppose that we have fit the model
using coded variables (1 ≤ xi ≤ +1).
(a) Draw the path of steepest ascent that you would obtain if the interaction were ignored.
(b) Draw the path of steepest ascent that you would obtain with the interaction included in the model. Compare this with the path found in part (a).
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Mutation, where one symbol is replaced by another symbol. Note that a mutation can always be performed by an insertion followed by a deletion, but if we allow mutations, then this change counts for only 1, not 2, when computing the edit distance.
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For this question, you are required to design and implement your own version of the Position ADT and the Node List ADT. You are not allowed to use any of the built-in classes or interfaces provided by Java, which provide similar operations.
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Discuss the pros and cons of this method compared to first-, next-, and best-fit. What is the average length of the search for worst-fit?
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