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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
try:
inputDimension = 3
outputDimension = 2
# Center
center = NumericalPoint(inputDimension)
center[0] = -1
center[1] = 0.5
center[2] = 1
# Constant term
constant = NumericalPoint(outputDimension)
constant[0] = -1.0
constant[1] = 2.0
# Linear term
linear = Matrix(outputDimension, inputDimension)
linear[0, 0] = 1.0
linear[1, 0] = 2.0
linear[0, 1] = 3.0
linear[1, 1] = 4.0
linear[0, 2] = 5.0
linear[1, 2] = 6.0
# myFunction = linear * (X- center) + constant
myFunction = LinearNumericalMathFunction(center, constant, linear)
myFunction.setName("linearFunction")
inPoint = NumericalPoint(inputDimension)
inPoint[0] = 7.0
inPoint[1] = 8.0
inPoint[2] = 9.0
outPoint = myFunction(inPoint)
print("myFunction=", repr(myFunction))
print(myFunction.getName(), "( ", repr(inPoint), " ) = ", repr(outPoint))
print(myFunction.getName(), ".gradient( ", repr(inPoint), " ) = ",
repr(myFunction.gradient(inPoint)))
print(myFunction.getName(), ".hessian( ", repr(inPoint), " ) = ",
repr(myFunction.hessian(inPoint)))
except:
import sys
print("t_LinearNumericalMathFunction_std.py",
sys.exc_info()[0], sys.exc_info()[1])
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