From 0ead004b3c1586f58de701cd2edc4d6302f5f09c Mon Sep 17 00:00:00 2001
From: Martin Bauer <martin.bauer@fau.de>
Date: Mon, 28 Jan 2019 18:17:51 +0100
Subject: [PATCH] Grandchem generalization WIP
- started with generalized free energy formulation
---
fd/finitedifferences.py | 15 +++++++++------
1 file changed, 9 insertions(+), 6 deletions(-)
diff --git a/fd/finitedifferences.py b/fd/finitedifferences.py
index fe093ec16..dfc2aab95 100644
--- a/fd/finitedifferences.py
+++ b/fd/finitedifferences.py
@@ -275,8 +275,9 @@ def grad(var, dim=3):
This function takes a symbol and creates the gradient symbols according to convention above
- :param var: symbol to take the gradient of
- :param dim: dimension (length) of the gradient vector
+ Args:
+ var: symbol to take the gradient of
+ dim: dimension (length) of the gradient vector
"""
if hasattr(var, "__getitem__"):
return [[sp.Symbol("%s^Delta^%d" % (v.name, i)) for v in var] for i in range(dim)]
@@ -289,10 +290,12 @@ def discretize_center(term, symbols_to_field_dict, dx, dim=3):
Expects term that contains given symbols and gradient components of these symbols and replaces them
by field accesses. Gradients are replaced by centralized approximations:
``(upper neighbor - lower neighbor ) / ( 2*dx)``
- :param term: term where symbols and gradient(symbol) should be replaced
- :param symbols_to_field_dict: mapping of symbols to Field
- :param dx: width and height of one cell
- :param dim: dimension
+
+ Args:
+ term: term where symbols and gradient(symbol) should be replaced
+ symbols_to_field_dict: mapping of symbols to Field
+ dx: width and height of one cell
+ dim: dimension
Example:
>>> x = sp.Symbol("x")
--
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