upgrade optimtool

optimtool/__init__.py

@@ -32,4 +32,4 @@
 from ._version import __version__
 
 if sys.version_info < (3, 7, 0):
-    raise OSError(f'optimtool-2.6.0 requires Python >=3.7, but yours is {sys.version}')
+    raise OSError(f'optimtool-2.6.1 requires Python >=3.7, but yours is {sys.version}')

optimtool/_version.py

@@ -18,4 +18,4 @@
 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 # SOFTWARE.
 
-__version__ = '2.6.0'
+__version__ = '2.6.1'

optimtool/example/Lasso.py

@@ -54,6 +54,8 @@ def gradient(A: NDArray,
 
     :return: final convergenced point and iterative times, (iterative values in a list).
     '''
+    assert delta > 0
+    assert alp > 0
     from .._drive import get_f_delta_gradient
     args = a2m(args)
     funcs = sp.Matrix([0.5*((A*args - b).T)*(A*args - b)])
@@ -107,6 +109,7 @@ def subgradient(A: NDArray,
 
     :return: final convergenced point and iterative times, (iterative values in a list).
     '''
+    assert alphak > 0
     from .._drive import get_subgradient
     args = a2m(args)
     funcs = sp.Matrix([0.5*((A*args - b).T)*(A*args - b)])

setup.py

@@ -4,7 +4,7 @@
 from setuptools import setup
 
 if sys.version_info < (3, 7, 0):
-    raise OSError(f'optimtool-2.6.0 requires Python >=3.7, but yours is {sys.version}')
+    raise OSError(f'optimtool-2.6.1 requires Python >=3.7, but yours is {sys.version}')
 
 if (3, 7, 0) <= sys.version_info < (3, 8, 0):
     # https://github.com/pypa/setuptools/issues/926#issuecomment-294369342

test_L_BFGS.py

@@ -0,0 +1,11 @@
+import optimtool.unconstrain as ou
+from optimtool.base import sp
+x = sp.symbols("x1:5")
+f = 100 * (x[1] - x[0]**2)**2 + \
+    (1 - x[0])**2 + \
+    100 * (x[3] - x[2]**2)**2 + \
+    (1 - x[2])**2
+x_0 = (-1.2, 1, -1.2, 1)
+lbfgs = ou.newton_quasi.L_BFGS
+lbfgs(f, x, x_0, verbose=True, draw=False, m=2)
+# lbfgs(f, x, x_0, verbose=True, draw=False, m=6)