I have a gradient where each component may have a different number of symbolic arguments and get the following error when I run:
gradL (gradL[0]).arguments() (gradL[1]).arguments() (gradL[2]).arguments() s=[3,.5,.3] (gradL[0])(*s) (gradL[1])(*s) (gradL[2])(*s) (lam0*(x1 - 1.00000000000000) - log(x0) + log(-x0 + 1), lam0*x0 - log(x1) + log(-x1 + 1), x0*x1 - x0 + 0.500000000000000) (lam0, x0, x1) (lam0, x0, x1) (x0, x1) -2.10000000000000 2.34729786038720 Error in lines 8-8 Traceback (most recent call last): File "/projects/5511fe15-8085-4d1d-bdc7-c6bf6c99e693/.sagemathcloud/sage_server.py", line 865, in execute exec compile(block+'\n', '', 'single') in namespace, locals File "", line 1, in <module> File "sage/symbolic/expression.pyx", line 4382, in sage.symbolic.expression.Expression.__call__ (build/cythonized/sage/symbolic/expression.cpp:24669) File "sage/symbolic/ring.pyx", line 760, in sage.symbolic.ring.SymbolicRing._call_element_ (build/cythonized/sage/symbolic/ring.cpp:8970) ValueError: the number of arguments must be less than or equal to 2 I need to be able to to be able to define this as a vector valued function of a vector so that I can evaluate it using the entire argument set (lam0, x0, x1) where the missing arguments are ignored for the corresponding component. This is so I may def a function for scipy.optimize like: def F(s): tmp=[] for ii in range(len(gradL)): tmp.append((gradL[ii])(*s)) return tmp ssoln = scipy.optimize.broyden1(F, [.5,.5,.5], f_tol=1e-14) I can't figure out how to accomplish this. Thanks for any help in advance. -Steve -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To post to this group, send email to sage-support@googlegroups.com. Visit this group at http://groups.google.com/group/sage-support. For more options, visit https://groups.google.com/d/optout.