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Minimum Elevator Rides

Group people into as few weight-limited elevator rides as possible.

Lo que aprenderás

  • Represent groups of people as bitmasks
  • Store the best rides and last ride weight per subset
  • Handle exponential search spaces cleverly

Problema

Ver traducción

Each person must ride exactly once. Any group can share a ride if the sum of its weights is no greater than capacity. People may be regrouped freely; their input order does not matter. Minimize the number of rides.

Implement elevator_rides(weights, capacity).

Input

weights: The weight of each person.

capacity: The maximum combined weight in a ride.

Output

Return the minimum number of rides.

Restricciones

1 ≤ people ≤ 20. 1 ≤ capacity ≤ 1,000,000,000. Every weight is between 1 and capacity.

Ejemplos

Ejemplo 1
Entrada:
weights = [3, 4, 5]
capacity = 7

Salida esperada:
expected = 2
Entrada:
std::vector<long long> weights = {3, 4, 5};
long long capacity = 7;

Salida esperada:
long long expected = 2;
Entrada:
long[] weights = new long[] {3, 4, 5};
long capacity = 7;

Salida esperada:
long expected = 2;

Explicación

Send 3 + 4 together and 5 separately. Total weight 12 cannot fit in one ride of capacity 7.

Ejemplo 2
Entrada:
weights = [2, 2, 2]
capacity = 6

Salida esperada:
expected = 1
Entrada:
std::vector<long long> weights = {2, 2, 2};
long long capacity = 6;

Salida esperada:
long long expected = 1;
Entrada:
long[] weights = new long[] {2, 2, 2};
long capacity = 6;

Salida esperada:
long expected = 1;

Explicación

All three people fit together because 2 + 2 + 2 = 6.

Cómo abordarlo

Inténtalo primero por tu cuenta y luego abre las pistas una a una.

Pista 1

Since the number of people is small, consider subsets rather than individual rides.

Pista 2

Track both how many rides are used and how full the current last ride is for each subset.

Pista 3

When two states use the same number of rides, prefer the one with smaller current load.

Complejidad esperada

O(2^n * n) time, O(2^n) extra space

Referencias

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