本文整理汇总了Python中scipy.optimize.linesearch.line_search_wolfe1方法的典型用法代码示例。如果您正苦于以下问题：Python linesearch.line_search_wolfe1方法的具体用法？Python linesearch.line_search_wolfe1怎么用？Python linesearch.line_search_wolfe1使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类scipy.optimize.linesearch的用法示例。
在下文中一共展示了linesearch.line_search_wolfe1方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_line_search_wolfe1
# 需要导入模块: from scipy.optimize import linesearch [as 别名]
# 或者: from scipy.optimize.linesearch import line_search_wolfe1 [as 别名]
def test_line_search_wolfe1(self):
c = 0
smax = 100
for name, f, fprime, x, p, old_f in self.line_iter():
f0 = f(x)
g0 = fprime(x)
self.fcount = 0
s, fc, gc, fv, ofv, gv = ls.line_search_wolfe1(f, fprime, x, p,
g0, f0, old_f,
amax=smax)
assert_equal(self.fcount, fc+gc)
assert_fp_equal(ofv, f(x))
if s is None:
continue
assert_fp_equal(fv, f(x + s*p))
assert_array_almost_equal(gv, fprime(x + s*p), decimal=14)
if s < smax:
c += 1
assert_line_wolfe(x, p, s, f, fprime, err_msg=name)
assert_(c > 3) # check that the iterator really works... 示例2: _line_search_wolfe12
# 需要导入模块: from scipy.optimize import linesearch [as 别名]
# 或者: from scipy.optimize.linesearch import line_search_wolfe1 [as 别名]
def _line_search_wolfe12(f, fprime, xk, pk, gfk, old_fval, old_old_fval,
**kwargs):
"""
Same as line_search_wolfe1, but fall back to line_search_wolfe2 if
suitable step length is not found, and raise an exception if a
suitable step length is not found.
Raises
------
_LineSearchError
If no suitable step size is found
"""
ret = line_search_wolfe1(f, fprime, xk, pk, gfk,
old_fval, old_old_fval,
**kwargs)
if ret[0] is None:
# line search failed: try different one.
ret = line_search_wolfe2(f, fprime, xk, pk, gfk,
old_fval, old_old_fval, **kwargs)
if ret[0] is None:
raise _LineSearchError()
return ret