Synsets for "greedy"

Synset: avaricious.s.01

Synonyms: avaricious

Part of Speech: ADJECTIVE SATELLITE

Definition: immoderately desirous of acquiring e.g. wealth

Examples: they are avaricious and will do anything for money | casting covetous eyes on his neighbor's fields | a grasping old miser | grasping commercialism | greedy for money and power | grew richer and greedier | prehensile employers stingy with raises for their employees

Lemmas: avaricious covetous grabby grasping greedy prehensile

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Synset: avid.s.01

Synonyms: avid

Part of Speech: ADJECTIVE SATELLITE

Definition: (often followed by `for') ardently or excessively desirous

Examples: avid for adventure | an avid ambition to succeed | fierce devouring affection | the esurient eyes of an avid curiosity | greedy for fame

Lemmas: avid devouring esurient greedy

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Synset: greedy.s.03

Synonyms: greedy

Part of Speech: ADJECTIVE SATELLITE

Definition: wanting to eat or drink more than one can reasonably consume

Examples: don't be greedy with the cookies

Lemmas: greedy

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Related Wikipedia Samples:

Article Related Text
Greedy embedding For more general graphs, some greedy embedding algorithms such as the one by Kleinberg start by finding a spanning tree of the given graph, and then construct a greedy embedding of the spanning tree. The result is necessarily also a greedy embedding of the whole graph. However, there exist graphs that have a greedy embedding in the Euclidean plane but for which no spanning tree has a greedy embedding.
Greedy algorithm Greedy algorithms can be characterized as being 'short sighted', and also as 'non-recoverable'. They are ideal only for problems which have 'optimal substructure'. Despite this, for many simple problems (e.g. giving change), the best suited algorithms are greedy algorithms. It is important, however, to note that the greedy algorithm can be used as a selection algorithm to prioritize options within a search, or branch-and-bound algorithm. There are a few variations to the greedy algorithm:
Greedy algorithm In general, greedy algorithms have five components:
Odd greedy expansion where the left expansion is the greedy expansion and the right expansion is the odd greedy expansion. However, the odd greedy expansion is more typically long, with large denominators. For instance, as Wagon discovered, the odd greedy expansion for 3/179 has 19 terms, the largest of which is approximately 1.415×10. Curiously, the numerators of the fractions to be expanded in each step of the algorithm form a sequence of consecutive integers:
Activity selection problem Line 1: This algorithm is called "Greedy-Iterative-Activity-Selector", because it is first of all a greedy algorithm, and then it is iterative. There's also a recursive version of this greedy algorithm.
Greedy algorithm A greedy algorithm is an algorithmic paradigm that follows the problem solving heuristic of making the locally optimal choice at each stage with the hope of finding a global optimum. In many problems, a greedy strategy does not in general produce an optimal solution, but nonetheless a greedy heuristic may yield locally optimal solutions that approximate a global optimal solution in a reasonable time.
Geometric spanner The "greedy spanner" or "greedy graph" is defined as the graph resulting from repeatedly adding an edge between the closest pair of points without a "t"-path. Algorithms which compute this graph are referred to as greedy spanner algorithms. From the construction it trivially follows that the greedy graph is a "t"-spanner.
Greedy randomized adaptive search procedure The greedy randomized adaptive search procedure (also known as GRASP) is a metaheuristic algorithm commonly applied to combinatorial optimization problems. GRASP typically consists of iterations made up from successive constructions of a "greedy randomized" solution and subsequent iterative improvements of it through a local search. The greedy randomized solutions are generated by adding elements to the problem's solution set from a list of elements ranked by a "greedy function" according to the quality of the solution they will achieve. To obtain variability in the candidate set of greedy solutions, well-ranked candidate elements are often placed in a "restricted candidate list" (also known as RCL), and chosen at random when building up the solution. This kind of greedy randomized construction method is also known as a semi-greedy heuristic, first described in Hart and Shogan (1987).
Greedy embedding The class of trees that admit greedy embeddings into the Euclidean plane has been completely characterized, and a greedy embedding of a tree can be found in linear time when it exists.
Grammar induction Like all greedy algorithms, greedy grammar inference algorithms make, in iterative manner, decisions that seem to be the best at that stage.
List of Little Miss characters Little Miss Greedy is the 13th book in the "Little Miss" series. Little Miss Greedy has the same appetite as her cousin, and has a really large breakfast.
Smurfette Working for Gargamel, Smurfette makes several failed attempts to defeat the Smurfs. In the dam incident, she used a slice of cake to lure Greedy Smurf into opening it. When Greedy tried to close the dam again, Smurfette yanked it back. Greedy soon caught on, all the tugging eventually threw Smurfette off balance and she promptly fell into the river. While Greedy hammered the dam back down, Papa Smurf rescued Smurfette and sent her to Smurf court.
F2FS F2FS supports two victim selection policies: greedy, and cost-benefit algorithms. In the greedy algorithm, F2FS selects a victim segment having the smallest number of valid blocks. In the cost-benefit algorithm, F2FS selects a victim segment according to the segment age and the number of valid blocks in order to address the log block thrashing problem present in the greedy algorithm. F2FS uses the greedy algorithm for on-demand cleaning, the background cleaner uses the cost-benefit algorithm.
Greedy Perimeter Stateless Routing in Wireless Networks The Greedy Perimeter Stateless Routing in Wireless Networks is a routing protocol for mobile ad-hoc networks. It was developed by B. Karp. It uses a greedy algorithm to do the routing and orbits around a perimeter.
Greedy (album) Greedy is the final album released in 1997 by New Zealand band Headless Chickens.
Greedy Fly "Greedy Fly" is a song by alternative rock band Bush from their 1996 album "Razorblade Suitcase".
Geographic routing Greedy forwarding can lead into a dead end, where there is no neighbor closer to the destination. Then, face routing helps to recover from that situation and find a path to another node, where greedy forwarding can be resumed. A recovery strategy such as face routing is necessary to assure that a message can be delivered to the destination. The combination of greedy forwarding and face routing was first proposed in 1999 under the name GFG (Greedy-Face-Greedy). It guarantees delivery in the so-called unit disk graph network model. Various variants, which were proposed later
Weighted matroid It was not until 1971 that Jack Edmonds connected weighted matroids to greedy algorithms in his paper "Matroids and the greedy algorithm". Korte and Lovász would generalize these ideas to objects called "greedoids", which allow even larger classes of problems to be solved by greedy algorithms.
Greedy embedding In distributed computing and geometric graph theory, greedy embedding is a process of assigning coordinates to the nodes of a telecommunications network in order to allow greedy geographic routing to be used to route messages within the network. Although greedy embedding has been proposed for use in wireless sensor networks, in which the nodes already have positions in physical space, these existing positions may differ from the positions given to them by greedy embedding, which may in some cases be points in a virtual space of a higher dimension, or in a non-Euclidean geometry. In this sense, greedy embedding may be viewed as a form of graph drawing, in which an abstract graph (the communications network) is embedded into a geometric space.
Nim "Greedy Nim" is a variation where the players are restricted to choosing stones from only the largest pile. It is a finite impartial game. "Greedy Nim Misère" has the same rules as Greedy Nim, but here the last player able to make a move loses.