def convex(self, vals):
J = jacobian(self.u_vars, self.eps_x, self.eps_y)
out = 0
for i in range(J.shape[0]):
for j in range(J.shape[1]):
for k in range(J.shape[2]):
for l in range(J.shape[3]):
term = J[i,j,k,l] + J[i,j,l,k]
out += term*term
out *= self.coeff
return out
def eval(self, vals): J = jacobian(vals, self.eps_x, self.eps_y) JT = J.transpose((0, 1, 3, 2)) return self.coeff * sumsq(J + JT)
