Python: maximum recursion depth exceeded while calling a Python object
this turns the recursion in to a loop:
this turns the recursion in to a loop:
Your consideration is wrong. The value of r does not change, since it is given as value to the Quicksort function(not a reference). You handle the ranges with p,q such that p is the first index in the range and q the first index not in the range. Thus, your calls were wrong: Here is the complete example. I used std::swap to change elements and ans std::vector … Read more
I learned that depth and height are properties of a node: The depth of a node is the number of edges from the node to the tree’s root node.A root node will have a depth of 0. The height of a node is the number of edges on the longest path from the node to a leaf.A leaf node will have a … Read more
Generally speaking a sliding window is a sub-list that runs over an underlying collection. I.e., if you have an array like a sliding window of size 3 would run over it like This is useful if you for instance want to compute a running average, or if you want to create a set of all … Read more
The most common attributes of logarithmic running-time function are that: the choice of the next element on which to perform some action is one of several possibilities, and only one will need to be chosen. or the elements on which the action is performed are digits of n This is why, for example, looking up … Read more
That heavily depends on the structure of the search tree and the number and location of solutions (aka searched-for items). If you know a solution is not far from the root of the tree, a breadth first search (BFS) might be better. If the tree is very deep and solutions are rare, depth first search … Read more
Here a more mathematical way of seeing it, though not really complicated. IMO much clearer as informal ones: The question is, how many times can you divide N by 2 until you have 1? This is essentially saying, do a binary search (half the elements) until you found it. In a formula this would be … Read more
I cannot understand how to identify a function with a log time. The most common attributes of logarithmic running-time function are that: the choice of the next element on which to perform some action is one of several possibilities, and only one will need to be chosen. or the elements on which the action is … Read more
In simple words, a loop invariant is some predicate (condition) that holds for every iteration of the loop. For example, let’s look at a simple for loop that looks like this: In this example it is true (for every iteration) that i + j == 9. A weaker invariant that is also true is that i >= 0 && … Read more