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Arnăutu Vladimir cl. 11”A”
Metoda Greedy
Definiţie:
Metoda Greedy este una dintre cele mai
directe tehnici de proiectare a algoritmilor
care poate fi aplicată la o gamă largă de
probleme.
Această metodă se aplică problemelor de optimizare,
care constau în determinarea unei submultimi B, a
unei mulţimi A cu n elemente care să îndeplinească
anumite condiţii pentru a fi acceptate.
Orice submulţime de acest fel, care respectă
aceste condiţii se numeşte soluţie posibilă.
Din mulţimea tuturor soluţiilor posibile se
doreştedeterminarea unei soluţii care
maximizează sau minimizează o funcţie de
cost. O soluţie posibilă care realizează acest
lucru se numeşte
soluţie optimă.
Descrierea metodei:
Exemplu: Se dă o mulţime A cu n elemente şi
se cere să se determine o submulţime B care
satisface anumite restricţii. Această soluţie se
numeşte soluţie posibilă. Se cere să se
determine o soluţie posibilă care să
maximizeze sau să minimizeze o anumită
funcţie obiectiv dată. Această soluţie se
numeşte soluţie optimă.
Specificul acestei metode constă în faptul că
se construieşte
soluţia optimă pas cu pas
, la fiecare pas fiind selectat (sau "înghiţit") în
soluţie elementul care pare "cel mai bun" la
momentul respectiv, în speranţa că va duce la
soluţia optimă globală.
Metoda greedy223

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Metoda greedy223

  • 2. Metoda Greedy Definiţie: Metoda Greedy este una dintre cele mai directe tehnici de proiectare a algoritmilor care poate fi aplicată la o gamă largă de probleme.
  • 3. Această metodă se aplică problemelor de optimizare, care constau în determinarea unei submultimi B, a unei mulţimi A cu n elemente care să îndeplinească anumite condiţii pentru a fi acceptate.
  • 4. Orice submulţime de acest fel, care respectă aceste condiţii se numeşte soluţie posibilă. Din mulţimea tuturor soluţiilor posibile se doreştedeterminarea unei soluţii care maximizează sau minimizează o funcţie de cost. O soluţie posibilă care realizează acest lucru se numeşte soluţie optimă.
  • 5. Descrierea metodei: Exemplu: Se dă o mulţime A cu n elemente şi se cere să se determine o submulţime B care satisface anumite restricţii. Această soluţie se numeşte soluţie posibilă. Se cere să se determine o soluţie posibilă care să maximizeze sau să minimizeze o anumită funcţie obiectiv dată. Această soluţie se numeşte soluţie optimă.
  • 6. Specificul acestei metode constă în faptul că se construieşte soluţia optimă pas cu pas , la fiecare pas fiind selectat (sau "înghiţit") în soluţie elementul care pare "cel mai bun" la momentul respectiv, în speranţa că va duce la soluţia optimă globală.