Frank Miles wrote: > I need to evaluate a complicated function over a multidimensional space > as part of an optimization problem. This is a somewhat general problem > in which the number of dimensions and the function being evaluated can > vary from problem to problem. > > I've got a working version (with loads of conditionals, and it only works > to #dimensions <= 10), but I'd like something simpler and clearer and > less hard-coded. > > I've web-searched for some plausible method, but haven't found anything > "nice". Any recommendations where I should look, or what technique should > be used?
Not sure this is what you want, but if you have nested for loops -- these can be replaced with itertools.product(): >>> a = [1, 2] >>> b = [10, 20, 30] >>> c = [100] >>> for x in a: ... for y in b: ... for z in c: ... print(x, y, z) ... 1 10 100 1 20 100 1 30 100 2 10 100 2 20 100 2 30 100 >>> for xyz in product(a, b, c): ... print(*xyz) ... 1 10 100 1 20 100 1 30 100 2 10 100 2 20 100 2 30 100 -- https://mail.python.org/mailman/listinfo/python-list
