Drop usage of scipy aliases for numpy functions removed in 1.12

src/sage/matrix/matrix_double_dense.pyx

@@ -867,7 +867,7 @@ cdef class Matrix_double_dense(Matrix_numpy_dense):
         # set cutoff as RDF element
         if eps == 'auto':
             if scipy is None: import scipy
-            eps = 2*max(self._nrows, self._ncols)*scipy.finfo(float).eps*sv[0]
+            eps = 2*max(self._nrows, self._ncols)*numpy.finfo(float).eps*sv[0]
         eps = RDF(eps)
         # locate non-zero entries
         rank = 0

src/sage/numerical/optimize.py

@@ -426,7 +426,7 @@ def minimize(func, x0, gradient=None, hessian=None, algorithm="default",
                 hess = func.hessian()
                 hess_fast = [ [fast_callable(a, vars=var_names, domain=float) for a in row] for row in hess]
                 hessian = lambda p: [[a(*p) for a in row] for row in hess_fast]
-                from scipy import dot
+                from numpy import dot
                 hessian_p = lambda p,v: dot(numpy.array(hessian(p)),v)
                 min = optimize.fmin_ncg(f, [float(_) for _ in x0], fprime=gradient,
                       fhess=hessian, fhess_p=hessian_p, disp=verbose, **args)