greedy$32716$ - ορισμός. Τι είναι το greedy$32716$
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Τι (ποιος) είναι greedy$32716$ - ορισμός

ALGORITHM THAT MAKES LOCALLY OPTIMAL CHOICES IN A SEQUENCE OF STEPS WITH THE GOAL OF REACHING A GLOBAL OPTIMUM
Greedy heuristic; Greedy search; Greedy method; Exchange algorithm; Greedy Algorithm; Greedy algorithms; Applications of greedy algorithms

greedy         
WIKIMEDIA DISAMBIGUATION PAGE
Greedy (disambiguation)
a.
1.
Voracious, ravenous, gluttonous, rapacious, insatiable, insatiate.
2.
Eager, very desirous.
3.
Grasping, avaricious, rapacious, selfish.
greedy         
WIKIMEDIA DISAMBIGUATION PAGE
Greedy (disambiguation)
adj.
1) greedy for
2) greedy to + inf. (it was greedy of them to eat up all the candy)
Greedy         
WIKIMEDIA DISAMBIGUATION PAGE
Greedy (disambiguation)
·superl Having a keen desire for anything; vehemently desirous; eager to obtain; avaricious; as, greedy of gain.
II. Greedy ·superl Having a keen appetite for food or drink; ravenous; voracious; very hungry;
- followed by of; as, a lion that is greedy of his prey.

Βικιπαίδεια

Greedy algorithm

A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage. In many problems, a greedy strategy does not produce an optimal solution, but a greedy heuristic can yield locally optimal solutions that approximate a globally optimal solution in a reasonable amount of time.

For example, a greedy strategy for the travelling salesman problem (which is of high computational complexity) is the following heuristic: "At each step of the journey, visit the nearest unvisited city." This heuristic does not intend to find the best solution, but it terminates in a reasonable number of steps; finding an optimal solution to such a complex problem typically requires unreasonably many steps. In mathematical optimization, greedy algorithms optimally solve combinatorial problems having the properties of matroids and give constant-factor approximations to optimization problems with the submodular structure.