NumPyLSsolverResult

class NumPyLSsolverResult(a_dict=None)[source]

Numpy LinearSystem Result.

Attributes

NumPyLSsolverResult.eigvals

return eigvals

NumPyLSsolverResult.solution

return solution

Methods

NumPyLSsolverResult.__getitem__(key)

NumPyLSsolverResult.__len__()

NumPyLSsolverResult.clear()

rtype

None

NumPyLSsolverResult.combine(result)

Any property from the argument that exists in the receiver is updated.

NumPyLSsolverResult.copy()

NumPyLSsolverResult.from_dict(a_dict)

create new object from a dictionary

NumPyLSsolverResult.fromkeys(iterable[, value])

NumPyLSsolverResult.get(k[,d])

NumPyLSsolverResult.items()

NumPyLSsolverResult.keys()

NumPyLSsolverResult.pop(key[, default])

If key is not found, d is returned if given, otherwise KeyError is raised.

NumPyLSsolverResult.popitem()

as a 2-tuple; but raise KeyError if D is empty.

NumPyLSsolverResult.setdefault(k[,d])

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

NumPyLSsolverResult.values()

NumPyLSsolverResult.__len__()

NumPyLSsolverResult.__getitem__(key)