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Commit 3eab47f7 authored by Philipp Frank's avatar Philipp Frank
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typos

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1 merge request!8Add a nifty jacobian demo
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......@@ -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
......
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