While solving a geometry problem, I came across an approach called Sliding Window Algorithm. Couldn't really find any study material/details on it. What is the algorithm about?
A common algorithm with O (log n) time complexity is Binary Search whose recursive relation is T (n/2) + O (1) i.e. at every subsequent level of the tree you divide problem into half and do constant amount of additional work.
The answer may still be interesting for somebody else: One may apply a variation of the marching square algorithm, applied (1) within the concave hull, and (2) then on (e.g. 3) different scales that my depend on the average density of points. The scales need to be int multiples of each other, such you build a grid you can use for efficient ...
A* is just like Dijkstra, the only difference is that A* tries to look for a better path by using a heuristic function which gives priority to nodes that are supposed to be better than others while Dijkstra's just explore all possible paths. Its optimality depends on the heuristic function used, so yes it can return a non optimal result because of this and at the same time better the heuristic ...
An algorithm is the description of an automated solution to a problem. What the algorithm does is precisely defined. The solution could or could not be the best possible one but you know from the start what kind of result you will get. You implement the algorithm using some programming language to get (a part of) a program. Now, some problems are hard and you may not be able to get an ...
363 views Efficient algorithm to count contiguous subarrays that can form arithmetic progressions I'm working on a problem where I need to count, for each possible common difference D, the number of contiguous subarrays whose elements can be rearranged to form an arithmetic progression with common ... algorithm time-complexity
As opposed to repeated A* search, the D* Lite algorithm avoids replanning from scratch and incrementally repair path keeping its modifications local around robot pose. if you would like to really understand the algorithm. I suggest you start by reading through the pseudo code for A* and implement it.
AI Algorithm I found a simple yet surprisingly good playing algorithm: To determine the next move for a given board, the AI plays the game in memory using random moves until the game is over. This is done several times while keeping track of the end game score. Then the average end score per starting move is calculated.
I have a line from A to B and a circle positioned at C with the radius R. What is a good algorithm to use to check whether the line intersects the circle? And at what coordinate along the circles ...
The A* algorithm algorithm can be seen as a generalisation of Dijkstra's algorithm, but there is one caveat: Dijkstra's algorithm can be used to efficiently find shortest paths to all nodes in a graph, so constructing a shortest paths tree, while the A* algorithm needs a target node as input. If however the task is to find the shortest path to a single target node, and we choose an A* ...
