本文整理匯總了Python中scipy.optimize.linesearch.line_search_wolfe1方法的典型用法代碼示例。如果您正苦於以下問題：Python linesearch.line_search_wolfe1方法的具體用法？Python linesearch.line_search_wolfe1怎麽用？Python linesearch.line_search_wolfe1使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類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個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_line_search_wolfe1
# 需要導入模塊: from scipy.optimize import linesearch [as 別名]
# 或者: from scipy.optimize.linesearch import line_search_wolfe1 [as 別名]
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
# 需要導入模塊: from scipy.optimize import linesearch [as 別名]
# 或者: from scipy.optimize.linesearch import line_search_wolfe1 [as 別名]
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