# end def # ============================================================================= # Main program # ============================================================================= n = 5 x0 = 3*numpy.ones(n,'d') pi0 = numpy.zeros(n,'d') Lvar = 1.e-4*numpy.ones(n,'d') Ucon = numpy.ones(n,'d') testmodel = NLPModel(n=n,m=n,name='Scalable Test 1',x0=x0,Lvar=Lvar,Ucon=Ucon) testmodel.obj = obj testmodel.cons = cons testmodel.grad = grad testmodel.jac = jac testMFmodel = MFModel(n=n,m=n,name='Matrix-Free Scalable Test 1',x0=x0, Lvar=Lvar,Ucon=Ucon) testMFmodel.obj = obj testMFmodel.cons = cons testMFmodel.grad = grad testMFmodel.jprod = jprod testMFmodel.jtprod = jtprod # Test vectors for checking Jacobian vector product vec1 = numpy.ones(n) vec2 = numpy.arange(n,dtype='d') vec3 = numpy.random.rand(n)