Knapsack#

class Knapsack(values, weights, max_weight)[source]#

Bases: OptimizationApplication

Optimization application for the "knapsack problem" [1].

References

[1]: "Knapsack problem", https://en.wikipedia.org/wiki/Knapsack_problem

প্যারামিটার:

  • values (List[int]) -- A list of the values of items

  • weights (List[int]) -- A list of the weights of items

  • max_weight (int) -- The maximum weight capacity

Attributes

max_weight#

Getter of max_weight

রিটার্নস:

The maximal weight for the knapsack problem

Methods

interpret(result)[source]#

Interpret a result as item indices

প্যারামিটার:

result (OptimizationResult | ndarray) -- The calculated result of the problem

রিটার্নস:

A list of items whose corresponding variable is 1

রিটার্ন টাইপ:

List[int]

static sample_most_likely(state_vector)#

Compute the most likely binary string from state vector.

প্যারামিটার:

state_vector (QuasiDistribution | Statevector | ndarray | Dict) -- state vector or counts or quasi-probabilities.

রিটার্নস:

binary string as numpy.ndarray of ints.

রেইজেস:

ValueError -- if state_vector is not QuasiDistribution, Statevector, np.ndarray, or dict.

রিটার্ন টাইপ:

ndarray

to_quadratic_program()[source]#

Convert a knapsack problem instance into a QuadraticProgram

রিটার্নস:

The QuadraticProgram created from the knapsack problem instance.

রিটার্ন টাইপ:

QuadraticProgram