typos

demo_linearization.py

@@ -89,7 +89,7 @@ class _MyCustomJacobian(ift.LinearOperator):
 # non-linear functions), when facing Fields or Lineariations have already been
 # implemented in nifty. Therefore in many cases one can "do calculations" with
 # Linearizations analogous to Fields and the Jacobians get constructed from the
-# Jacobians of the promitive operations automatically, using the chain rule:
+# Jacobians of the primitive operations automatically, using the chain rule:
 
 # Define Operator
 class MyCustomLinModel(ift.Operator):
@@ -115,7 +115,7 @@ class MyCustomLinModel(ift.Operator):
 
 # 2) The Operator level (a bit less general, most fail safe)
 
-# Similarly to Fields and Linearozations, also the basic operations are
+# Similarly to Fields and Linearizations, also the basic operations are
 # implemented for Operators. Given for example two operators op1, op2 we can
 # multiply them together to create a new op3 = op1 * op2. The logic here is:
 # "take the outputs (results) of op1 and op2 and multiply them together". The
@@ -124,7 +124,7 @@ class MyCustomLinModel(ift.Operator):
 # share the same target space, pointwise multiplication is possible (no
 # automatic broadcasting!). Nifty, however, provides many broadcasting
 # operations the user can invoke to help build more general combinations (see
-# e.g. `ContractionOperator`)
+# e.g. `ContractionOperator`).
 
 # a placeholder operator that takes 'x' from the input and passes it along.
 x = ift.FieldAdapter(scalar_domain, 'x')
@@ -133,12 +133,12 @@ y = ift.FieldAdapter(scalar_domain, 'y')
 # First part of the model. Note that here 'calculations' are performed on
 # operators to create a new operator (i.E. no inputs are provided yet).
 model = ift.exp(x) * y
-# As "+" is already reserved for adding the output of two operators together
+# As "+" is already reserved for adding the output of two operators together,
 # simple scalar addition has to be performed via a designated operator 'Adder'.
 # Also, on operator level, the combination of operations has to be performed on
-# the same space so the number '3' is cast into a Field on the 'scalar_domain`
-# to add it to the output of model. Finally sequential operator application is
-# given via the matrix multiplication `@`.
+# compatible spaces so the number '3' is cast into a Field on 'scalar_domain`
+# to add it to the output of `model``. Finally sequential operator application is
+# given via the matrix multiplication operation `@`.
 MyCustomModel = ift.Adder(ift.full(scalar_domain, 3.)) @ model