Search results
Results from the WOW.Com Content Network
LeetCode LLC, doing business as LeetCode, is an online platform for coding interview preparation. The platform provides coding and algorithmic problems intended for users to practice coding . [ 1 ] LeetCode has gained popularity among job seekers in the software industry and coding enthusiasts as a resource for technical interviews and coding ...
K: the number of shortest paths to find; p u: a path from s to u; B is a heap data structure containing paths; P: set of shortest paths from s to t; count u: number of shortest paths found to node u; Algorithm: P =empty, count u = 0, for all u in V insert path p s = {s} into B with cost 0 while B is not empty and count t < K:
Langford pairings are named after C. Dudley Langford, who posed the problem of constructing them in 1958. Langford's problem is the task of finding Langford pairings for a given value of n. [1] The closely related concept of a Skolem sequence [2] is defined in the same way, but instead permutes the sequence 0, 0, 1, 1, ..., n − 1, n − 1.
The closest pair of points problem or closest pair problem is a problem of computational geometry: given points in metric space, find a pair of points with the smallest distance between them. The closest pair problem for points in the Euclidean plane [ 1 ] was among the first geometric problems that were treated at the origins of the systematic ...
The 1D Klee's measure problem (union of intervals) can be solved in () where p denotes the number of piercing points required to stab all intervals [1] (the union of intervals pierced by a common point can be calculated in linear time by computing the extrema).
Range minimum query reduced to the lowest common ancestor problem.. Given an array A[1 … n] of n objects taken from a totally ordered set, such as integers, the range minimum query RMQ A (l,r) =arg min A[k] (with 1 ≤ l ≤ k ≤ r ≤ n) returns the position of the minimal element in the specified sub-array A[l …
The closely related problem of finding a minimum-length string which is a superstring of a finite set of strings S = { s 1,s 2,...,s n} is also NP-hard. [2] Several constant factor approximations have been proposed throughout the years, and the current best known algorithm has an approximation factor of 2.475. [3]
Simulate the increment of the while-loop counter c [i] += 1 // Simulate recursive call reaching the base case by bringing the pointer to the base case analog in the array i:= 1 else // Calling permutations(i+1, A) has ended as the while-loop terminated. Reset the state and simulate popping the stack by incrementing the pointer. c [i]:= 0 i += 1 ...