qiskit.aqua.algorithms.ClassicalCPLEX
class ClassicalCPLEX(operator, timelimit=600, thread=1, display=2)
The Classical CPLEX algorithm (classical).
This algorithm uses the IBM ILOG CPLEX Optimization Studio along with its separately installed Python API to solve optimization problems modeled as an Ising Hamiltonian.
See these installation instructions if you need more information in that regard.
Parameters
- operator (
WeightedPauliOperator) – The Ising Hamiltonian as an Operator - timelimit (
int) – A time limit in seconds for the execution - thread (
int) – The number of threads that CPLEX uses. Setting this 0 lets CPLEX decide the number of threads to allocate, but this may not be ideal for small problems for which the default of 1 is more suitable. - display (
int) – Decides what CPLEX reports to the screen and records in a log during mixed integer optimization. This value must be between 0 and 5 where the amount of information displayed increases with increasing values of this parameter.
__init__
__init__(operator, timelimit=600, thread=1, display=2)
Parameters
- operator (
WeightedPauliOperator) – The Ising Hamiltonian as an Operator - timelimit (
int) – A time limit in seconds for the execution - thread (
int) – The number of threads that CPLEX uses. Setting this 0 lets CPLEX decide the number of threads to allocate, but this may not be ideal for small problems for which the default of 1 is more suitable. - display (
int) – Decides what CPLEX reports to the screen and records in a log during mixed integer optimization. This value must be between 0 and 5 where the amount of information displayed increases with increasing values of this parameter.
Methods
__init__(operator[, timelimit, thread, display]) | type operatorWeightedPauliOperator |
run() | Execute the classical algorithm. |
Attributes
random
Return a numpy random.
run
run()
Execute the classical algorithm.
Returns
results of an algorithm.
Return type
dict
solution
return solution
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