In computer science, greedy number partitioning is a class of greedy algorithms for multiway number partitioning. The input to the algorithm is a set...

In computer science, multiway number partitioning is the problem of partitioning a multiset of numbers into a fixed number of subsets, such that the sums...

developed for multiway number partitioning include: Greedy number partitioning – loops over the numbers, and puts each number in the set whose current...

differencing method is an algorithm for solving the partition problem and the multiway number partitioning. It is also called the Karmarkar–Karp algorithm...

algorithm for multiway number partitioning. The input is a set S of numbers, and a positive integer m; the output is a partition of S into m subsets. LPT...

Matroid-constrained number partitioning is a variant of the multiway number partitioning problem, in which the subsets in the partition should be independent...

ordering that leads to a greedy coloring with the optimal number of χ ( G ) {\displaystyle \chi (G)} colors. On the other hand, greedy colorings can be arbitrarily...

k-medoids is a classical partitioning technique of clustering that splits the data set of n objects into k clusters, where the number k of clusters assumed...

approximation for identical machines.: sec.5  It is also called greedy number partitioning. Coffman, Garey and Johnson presented a different algorithm called...

but it fares well on realistic data. Envy-free item allocation Greedy number partitioning - can be viewed a special case of the envy-graph algorithm for...

theory, the Grundy number or Grundy chromatic number of an undirected graph is the maximum number of colors that can be used by a greedy coloring strategy...

people making change will use the "greedy algorithm" for making change, even when that requires more than the minimum number of coins. Most current currencies...

distinct clusters first. In general, the merges and splits are determined in a greedy manner. The results of hierarchical clustering are usually presented in...

approximately solve the bandit problem. All those strategies have in common a greedy behavior where the best lever (based on previous observations) is always...

method of construction involves partitioning the space around each vertex into a set of cones, which themselves partition the remaining vertices of the...

or three less than a number with many factors. In the rare case that these other methods all fail, Fibonacci suggests a "greedy" algorithm for computing...

unique sequence corresponds to any non-negative number N was first observed by D. H. Lehmer. Indeed, a greedy algorithm finds the k-combination corresponding...

nibble is in some sense close to that of the random greedy algorithm. The problem of finding the number of such subsets in a k-uniform hypergraph was originally...

pass using a greedy algorithm to pair up vertices of A with vertices of B, so that moving the paired vertices from one side of the partition to the other...

property is used to determine the usefulness of greedy algorithms for a problem. Typically, a greedy algorithm is used to solve a problem with optimal...

minimum-size set of edges that breaks all cycles efficiently, either using a greedy algorithm or by complementing a spanning forest. The circuit rank can be...

polynomial time approximation scheme (FPTAS). George Dantzig proposed a greedy approximation algorithm to solve the unbounded knapsack problem. His version...

the coloring number provides an order to color the vertices of G {\displaystyle G} for which a greedy coloring algorithm uses a number of colors that...

using greedy approximation then following relation holds, d g ≤ N + 1 − 2 M + 1 {\displaystyle d_{g}\leq N+1-{\sqrt {2M+1}}} , where N is number of nodes...

The Louvain method for community detection is a greedy optimization method intended to extract non-overlapping communities from large networks created...

using a greedy algorithm that uses the largest possible prime at each step. The Pillai sequence tracks the numbers requiring the largest number of primes...

algorithm. A graph is uniquely k-edge-colorable if there is only one way of partitioning the edges into k color classes, ignoring the k! possible permutations...

it by partitioning them to maximize modularity (the difference in quality between the generated partition and a hypothetical randomized partition of communities)...

them greedy matchings. He presented an algorithm that finds an RM matching in time O ( n 2 c 3 ) {\displaystyle O(n^{2}c^{3})} , where n is the number of...

triangulated in O(n) time. Assuming a given polygon is y-monotone, the greedy algorithm begins by walking on one chain of the polygon from top to bottom...