1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91
|
"""
Copyright (C) 2000, 2001, 2002, 2003 RiskMap srl
This file is part of QuantLib, a free-software/open-source library
for financial quantitative analysts and developers - http://quantlib.org/
QuantLib is free software: you can redistribute it and/or modify it
under the terms of the QuantLib license. You should have received a
copy of the license along with this program; if not, please email
<quantlib-dev@lists.sf.net>. The license is also available online at
<https://www.quantlib.org/license.shtml>.
This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the license for more details.
"""
import unittest
import QuantLib as ql
class Foo:
def __call__(self, x):
return x * x - 1.0
def derivative(self, x):
return 2.0 * x
class Solver1DTest(unittest.TestCase):
def test_solve(self):
"Testing 1-D solvers"
for factory in [ql.Brent, ql.Bisection, ql.FalsePosition, ql.Ridder, ql.Secant]:
solver = factory()
for accuracy in [1.0e-4, 1.0e-6, 1.0e-8]:
root = solver.solve(lambda x: x * x - 1.0, accuracy, 1.5, 0.1)
if not (abs(root - 1.0) < accuracy):
self.fail(
"""
%(factory)s
solve():
expected: 1.0
calculated root: %(root)g
accuracy: %(accuracy)s
"""
% locals()
)
root = solver.solve(lambda x: x * x - 1.0, accuracy, 1.5, 0.0, 1.0)
if not (abs(root - 1.0) < accuracy):
self.fail(
"""
%(factory)s
bracketed solve():
expected: 1.0
calculated root: %(root)g
accuracy: %(accuracy)s
"""
% locals()
)
for factory in [ql.Newton, ql.NewtonSafe]:
solver = factory()
for accuracy in [1.0e-4, 1.0e-6, 1.0e-8]:
root = solver.solve(Foo(), accuracy, 1.5, 0.1)
if not (abs(root - 1.0) < accuracy):
self.fail(
"""
%(factory)s
solve():
expected: 1.0
calculated root: %(root)g
accuracy: %(accuracy)s
"""
% locals()
)
root = solver.solve(Foo(), accuracy, 1.5, 0.0, 1.0)
if not (abs(root - 1.0) < accuracy):
self.fail(
"""
%(factory)s
bracketed solve():
expected: 1.0
calculated root: %(root)g
accuracy: %(accuracy)s
"""
% locals()
)
if __name__ == "__main__":
print("testing QuantLib", ql.__version__)
unittest.main(verbosity=2)
|