NumPyLSsolverResult
class NumPyLSsolverResult(a_dict=None)
Bases: qiskit.aqua.algorithms.linear_solvers.linear_solver_result.LinearsolverResult
Numpy LinearSystem Result.
Methods
clear
NumPyLSsolverResult.clear()
Return type
None
combine
NumPyLSsolverResult.combine(result)
Any property from the argument that exists in the receiver is updated. :type result: AlgorithmResult :param result: Argument result with properties to be set.
Raises
TypeError – Argument is None
Return type
None
copy
NumPyLSsolverResult.copy()
from_dict
static NumPyLSsolverResult.from_dict(a_dict)
create new object from a dictionary
Return type
NumPyLSsolverResult
fromkeys
classmethod NumPyLSsolverResult.fromkeys(iterable, value=None)
get
NumPyLSsolverResult.get(k[, d]) → D[k] if k in D, else d. d defaults to None.
items
NumPyLSsolverResult.items() → a set-like object providing a view on D’s items
keys
NumPyLSsolverResult.keys() → a set-like object providing a view on D’s keys
pop
NumPyLSsolverResult.pop(key, default=None)
If key is not found, d is returned if given, otherwise KeyError is raised.
Return type
object
popitem
NumPyLSsolverResult.popitem()
as a 2-tuple; but raise KeyError if D is empty.
Return type
Tuple[object, object]
setdefault
NumPyLSsolverResult.setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D
update
NumPyLSsolverResult.update(*args, **kwargs)
If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
Return type
None
values
NumPyLSsolverResult.values() → an object providing a view on D’s values
Attributes
eigvals
return eigvals
Return type
ndarray
solution
return solution
Return type
ndarray