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 ...
The only way I can think of implementing it as a search algorithm is to perform a linear search and executing the string metric algorithm for each string and returning the strings with scores above a certain threshold.
CRC32 algorithm is exactly what I'm looking for, but I can't use it because the table it requires is way too huge (it is for an embedded system where resources are VERY rare). So: any suggestions for a fast and slim CRC algorithm? It does not matter when collisions are a bit more probable than with the original CRC32.
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.
Both choices refer to what algorithm the identity provider uses to sign the JWT. Signing is a cryptographic operation that generates a "signature" (part of the JWT) that the recipient of the token can validate to ensure that the token has not been tampered with. RS256 (RSA Signature with SHA-256) is an asymmetric algorithm, and it uses a public/private key pair: the identity provider has a ...
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 ...
How would you go about testing all possible combinations of additions from a given set N of numbers so they add up to a given final number? A brief example: Set of numbers to add: N = {1,5,22,15,0...
Although I have no problem whatsoever understanding recursion, I can't seem to wrap my head around the recursive solution to the Tower of Hanoi problem. Here is the code from Wikipedia: procedure...
Each algorithm is best suited for certain types of image transformations and you can take advantage of that. At the top, the fastest algorithms; at the bottom the slowest (though more accurate). You might skip the slow ones if a good match is found at the faster level. file-hash based (md5,sha1,etc) for exact duplicates
This is a simple question from algorithms theory. The difference between them is that in one case you count number of nodes and in other number of edges on the shortest path between root and concrete
