Solution: Nested List Weight Sum II
Explore how to solve the Nested List Weight Sum II problem by applying depth-first search to determine maximum depth and calculate weighted sums. Understand recursive traversal of nested lists, depth calculation, and how to implement this efficiently with time and space complexity considerations in coding interviews.
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Statement
Given a nested list of integers, nestedList, where each element can either be an integer or a list, which can contain integers or more lists, return the sum of each integer in nestedList multiplied by its weight.
The weight of an integer is calculated as maxDepth minus the depth of the integer plus one.
The depth of an integer is defined as the number of nested lists it is contained within. For instance, the value of each integer in the list [1,[2,2],[[3],2],1] is equal to its depth. Let maxDepth represent the maximum depth of any integer in the nestedList.
Constraints:
nestedList.lengthThe values of the integers in the nested list are in ...