aveF2CCV in 2 and 3D

This commit is contained in:
Lindsey Heagy
2015-11-12 08:19:15 -08:00
parent 86eb244011
commit 821932ed82
2 changed files with 120 additions and 49 deletions
+38 -35
View File
@@ -395,7 +395,7 @@ class TestTreeAveraging2D(Tests.OrderTest):
meshTypes = ['notatreeTree', 'uniformTree']#, 'randomTree']
meshDimension = 2
meshSizes = [4,8,16,32]
meshSizes = [4,8,16]
expectedOrders = [2,1]
def getError(self):
@@ -437,24 +437,23 @@ class TestTreeAveraging2D(Tests.OrderTest):
# self.getAve = lambda M: M.aveN2E
# self.orderTest()
def test_orderF2CC(self):
self.name = "Averaging 2D: F2CC"
fun = lambda x, y: (np.cos(x)+np.sin(y))
self.getHere = lambda M: np.r_[call2(fun, np.r_[M.gridFx, M.gridFy])]
self.getThere = lambda M: call2(fun, M.gridCC)
self.getAve = lambda M: M.aveF2CC
self.orderTest()
# def test_orderF2CCV(self):
# self.name = "Averaging 2D: F2CCV"
# funX = lambda x, y: (np.cos(x)+np.sin(y))
# funY = lambda x, y: (np.cos(y)*np.sin(x))
# self.getHere = lambda M: np.r_[call2(funX, M.gridFx), call2(funY, M.gridFy)]
# self.getThere = lambda M: np.r_[call2(funX, M.gridCC), call2(funY, M.gridCC)]
# self.getAve = lambda M: M.aveF2CCV
# def test_orderF2CC(self):
# self.name = "Averaging 2D: F2CC"
# fun = lambda x, y: (np.cos(x)+np.sin(y))
# self.getHere = lambda M: np.r_[call2(fun, np.r_[M.gridFx, M.gridFy])]
# self.getThere = lambda M: call2(fun, M.gridCC)
# self.getAve = lambda M: M.aveF2CC
# self.orderTest()
def test_orderF2CCV(self):
self.name = "Averaging 2D: F2CCV"
funX = lambda x, y: (np.cos(x)+np.sin(y))
funY = lambda x, y: (np.cos(y)*np.sin(x))
self.getHere = lambda M: np.r_[call2(funX, M.gridFx), call2(funY, M.gridFy)]
self.getThere = lambda M: np.r_[call2(funX, M.gridCC), call2(funY, M.gridCC)]
self.getAve = lambda M: M.aveF2CCV
self.orderTest()
# def test_orderCC2F(self):
# self.name = "Averaging 2D: CC2F"
# fun = lambda x, y: (np.cos(x)+np.sin(y))
@@ -468,7 +467,7 @@ class TestTreeAveraging2D(Tests.OrderTest):
# def test_orderE2CC(self):
# self.name = "Averaging 2D: E2CC"
# fun = lambda x, y: (np.cos(x)+np.sin(y))
# self.getHere = lambda M: np.r_[call2(fun, M.gridEx), call2(fun, M.gridEy)]
# self.getHere = lambda M: np.r_[call2(fun, np.r_[M.gridEx, M.gridEy])]
# self.getThere = lambda M: call2(fun, M.gridCC)
# self.getAve = lambda M: M.aveE2CC
# self.orderTest()
@@ -486,10 +485,14 @@ class TestAveraging3D(Tests.OrderTest):
name = "Averaging 3D"
meshTypes = ['notatreeTree', 'uniformTree']#, 'randomTree']
meshDimension = 3
meshSizes = [8,16]
meshSizes = [4,8,16]
expectedOrders = [2,1]
def getError(self):
if plotIt:
plt.spy(self.getAve(self.M))
plt.show()
num = self.getAve(self.M) * self.getHere(self.M)
err = np.linalg.norm((self.getThere(self.M)-num), np.inf)
return err
@@ -518,23 +521,23 @@ class TestAveraging3D(Tests.OrderTest):
# self.getAve = lambda M: M.aveN2E
# self.orderTest()
def test_orderF2CC(self):
self.name = "Averaging 3D: F2CC"
fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
self.getHere = lambda M: np.r_[call3(fun, M.gridFx), call3(fun, M.gridFy), call3(fun, M.gridFz)]
self.getThere = lambda M: call3(fun, M.gridCC)
self.getAve = lambda M: M.aveF2CC
self.orderTest()
# def test_orderF2CC(self):
# self.name = "Averaging 3D: F2CC"
# fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
# self.getHere = lambda M: np.r_[call3(fun, M.gridFx), call3(fun, M.gridFy), call3(fun, M.gridFz)]
# self.getThere = lambda M: call3(fun, M.gridCC)
# self.getAve = lambda M: M.aveF2CC
# self.orderTest()
# def test_orderF2CCV(self):
# self.name = "Averaging 3D: F2CCV"
# funX = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
# funY = lambda x, y, z: (np.cos(x)+np.sin(y)*np.exp(z))
# funZ = lambda x, y, z: (np.cos(x)*np.sin(y)+np.exp(z))
# self.getHere = lambda M: np.r_[call3(funX, M.gridFx), call3(funY, M.gridFy), call3(funZ, M.gridFz)]
# self.getThere = lambda M: np.r_[call3(funX, M.gridCC), call3(funY, M.gridCC), call3(funZ, M.gridCC)]
# self.getAve = lambda M: M.aveF2CCV
# self.orderTest()
def test_orderF2CCV(self):
self.name = "Averaging 3D: F2CCV"
funX = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
funY = lambda x, y, z: (np.cos(x)+np.sin(y)*np.exp(z))
funZ = lambda x, y, z: (np.cos(x)*np.sin(y)+np.exp(z))
self.getHere = lambda M: np.r_[call3(funX, M.gridFx), call3(funY, M.gridFy), call3(funZ, M.gridFz)]
self.getThere = lambda M: np.r_[call3(funX, M.gridCC), call3(funY, M.gridCC), call3(funZ, M.gridCC)]
self.getAve = lambda M: M.aveF2CCV
self.orderTest()
# def test_orderE2CC(self):
# self.name = "Averaging 3D: E2CC"