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Tag: recursion

Python DFS nested dictionary

I’ve written a function which should be able to search a nested dictionary, using DFS, to find a specific value. The recursive element seems to be working fine, however, when the base case should return True, it simply doesn’t. And the results. As you can see, the standard output “i==i” shows that this element was evaluated correctly but the return

Strictly Increasing Path in Grid with Python

At each step we can go the one of the left,right,up or down cells only if the that cell is strictly greater thab our current cell. (We cannot move diagonally). We want to find all the paths that we can go from the top-left cell to the bottom-right cell. [[1,4,3], [5,6,7]] In our example, these paths are 1->4->6->7 and 1->5->6->7.

Why is this (presumably more efficient) dynamic algorithm being outperformed by the naive recursive version?

I have the following problem as homework: Write a O(N^2) algorithm to determine whether the string can be broken into a list of words. You can start by writing an exponential algorithm and then using dynamic programming to improve the runtime complexity. The naive exponential algorithm which I started out with is this: I then adapted this into the following

Return the smallest circle in the from the list of circles

I am working with recursions in python. I have two functions r(coord) that returns the radius of a circle with the center at the given coordinates and inside(coord) that returns the set of centers of all circles directly inside the circle with the given center. I want to calculate the surface of all circles and I want to return the