### Tests for derivative & Chapman Enskog

parent 4a7299f1
 ... ... @@ -195,10 +195,10 @@ def collect_derivatives(expr): return expr.collect(derivative_terms(expr)) def create_nested_diff(*args, arg=None): def create_nested_diff(arg, *args): """Shortcut to create nested derivatives""" assert arg is not None args = sorted(args, reverse=True) args = sorted(args, reverse=True, key=lambda e: e.name if isinstance(e, sp.Symbol) else e) res = arg for i in args: res = Diff(res, i) ... ... @@ -455,7 +455,7 @@ def functional_derivative(functional, v): \frac{\delta F}{\delta v} = \frac{\partial F}{\partial v} - \nabla \cdot \frac{\partial F}{\partial \nabla v} - assumes that gradients are represented by Diff() node (from Chapman Enskog module) - assumes that gradients are represented by Diff() node - Diff(Diff(r)) represents the divergence of r - the constants parameter is a list with symbols not affected by the derivative. This is used for simplification of the derivative terms. ... ...
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