Files
simpeg/SimPEG/Problem.py
T

209 lines
6.0 KiB
Python

import Utils, Survey, Models, numpy as np, scipy.sparse as sp
import Maps, Mesh
class BaseProblem(object):
"""
Problem is the base class for all geophysical forward problems in SimPEG.
"""
__metaclass__ = Utils.SimPEGMetaClass
counter = None #: A SimPEG.Utils.Counter object
surveyPair = Survey.BaseSurvey #: A SimPEG.Survey Class
mapPair = Maps.IdentityMap #: A SimPEG.Map Class
mapping = None #: A SimPEG.Map instance.
mesh = None #: A SimPEG.Mesh instance.
def __init__(self, mesh, mapping=None, **kwargs):
Utils.setKwargs(self, **kwargs)
assert isinstance(mesh, Mesh.BaseMesh), "mesh must be a SimPEG.Mesh object."
self.mesh = mesh
self.mapping = mapping or Maps.IdentityMap(mesh)
self.mapping._assertMatchesPair(self.mapPair)
@property
def survey(self):
"""
The survey object for this problem.
"""
return getattr(self, '_survey', None)
def pair(self, d):
"""Bind a survey to this problem instance using pointers."""
assert isinstance(d, self.surveyPair), "Data object must be an instance of a %s class."%(self.surveyPair.__name__)
if d.ispaired:
raise Exception("The survey object is already paired to a problem. Use survey.unpair()")
self._survey = d
d._prob = self
def unpair(self):
"""Unbind a survey from this problem instance."""
if not self.ispaired: return
self.survey._prob = None
self._survey = None
deleteTheseOnModelUpdate = [] # List of strings, e.g. ['_MeSigma', '_MeSigmaI']
@property
def curModel(self):
"""
Sets the current model, and removes dependent mass matrices.
"""
return getattr(self, '_curModel', None)
@curModel.setter
def curModel(self, value):
if value is self.curModel:
return # it is the same!
self._curModel = Models.Model(value, self.mapping)
for prop in self.deleteTheseOnModelUpdate:
if hasattr(self, prop):
delattr(self, prop)
@property
def ispaired(self):
"""True if the problem is paired to a survey."""
return self.survey is not None
@Utils.timeIt
def Jvec(self, m, v, u=None):
"""Jvec(m, v, u=None)
Effect of J(m) on a vector v.
:param numpy.array m: model
:param numpy.array v: vector to multiply
:param numpy.array u: fields
:rtype: numpy.array
:return: Jv
"""
raise NotImplementedError('J is not yet implemented.')
@Utils.timeIt
def Jtvec(self, m, v, u=None):
"""Jtvec(m, v, u=None)
Effect of transpose of J(m) on a vector v.
:param numpy.array m: model
:param numpy.array v: vector to multiply
:param numpy.array u: fields
:rtype: numpy.array
:return: JTv
"""
raise NotImplementedError('Jt is not yet implemented.')
@Utils.timeIt
def Jvec_approx(self, m, v, u=None):
"""Jvec_approx(m, v, u=None)
Approximate effect of J(m) on a vector v
:param numpy.array m: model
:param numpy.array v: vector to multiply
:param numpy.array u: fields
:rtype: numpy.array
:return: approxJv
"""
return self.Jvec(m, v, u)
@Utils.timeIt
def Jtvec_approx(self, m, v, u=None):
"""Jtvec_approx(m, v, u=None)
Approximate effect of transpose of J(m) on a vector v.
:param numpy.array m: model
:param numpy.array v: vector to multiply
:param numpy.array u: fields
:rtype: numpy.array
:return: JTv
"""
return self.Jtvec(m, v, u)
def fields(self, m):
"""
The field given the model.
:param numpy.array m: model
:rtype: numpy.array
:return: u, the fields
"""
raise NotImplementedError('fields is not yet implemented.')
class BaseTimeProblem(BaseProblem):
"""Sets up that basic needs of a time domain problem."""
@property
def timeSteps(self):
"""Sets/gets the timeSteps for the time domain problem.
You can set as an array of dt's or as a list of tuples/floats.
Tuples must be length two with [..., (dt, repeat), ...]
For example, the following setters are the same::
prob.timeSteps = [(1e-6, 3), 1e-5, (1e-4, 2)]
prob.timeSteps = np.r_[1e-6,1e-6,1e-6,1e-5,1e-4,1e-4]
"""
return getattr(self, '_timeSteps', None)
@timeSteps.setter
def timeSteps(self, value):
if isinstance(value, np.ndarray):
self._timeSteps = value
del self.timeMesh
return
if type(value) is not list:
raise Exception('timeSteps must be a np.ndarray or a list of scalars and tuples.')
proposed = []
for v in value:
if Utils.isScalar(v):
proposed += [float(v)]
elif type(v) is tuple and len(v) == 2:
proposed += [float(v[0])]*int(v[1])
else:
raise Exception('timeSteps list must contain only scalars and len(2) tuples.')
self._timeSteps = np.array(proposed)
del self.timeMesh
@property
def nT(self):
"Number of time steps."
return self.timeMesh.nC
@property
def t0(self):
return getattr(self, '_t0', 0.0)
@t0.setter
def t0(self, value):
assert Utils.isScalar(value), 't0 must be a scalar'
del self.timeMesh
self._t0 = float(value)
@property
def times(self):
"Modeling times"
return self.timeMesh.vectorNx
@property
def timeMesh(self):
if getattr(self, '_timeMesh', None) is None:
self._timeMesh = Mesh.TensorMesh([self.timeSteps], x0=[self.t0])
return self._timeMesh
@timeMesh.deleter
def timeMesh(self):
if hasattr(self, '_timeMesh'):
del self._timeMesh