class WolfeLS extends LineSearch
The WolfeLS
class performs an inexact line search on 'f' to find a point 'x'
that exhibits
(1) sufficient decrease ('f(x)' enough less that 'f(0)') and
(2) the slope at x is less steep than the slope at 0.
That is, the line search looks for a value for 'x' satisfying the two Wolfe conditions.
f(x) <= f(0) + c1 * f'(0) * x Wolfe condition 1 (Armijo condition) |f'(x)| <= |c2 * f'(0)| Wolfe condition 2 (Strong version) f'(x) >= c2 * f'(0) Wolfe condition 2 (Weak version, more robust)
It works on scalar functions (@see WolfeLSTest
). If starting with a vector function
f(x), simply define a new function g(y) = x0 + direction * y (@see WolfeLSTest2
).
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new
WolfeLS(f: FunctionS2S, c1: Double = .0001, c2: Double = .9)
- f
the scalar objective function to minimize
- c1
constant for sufficient decrease (Wolfe condition 1)
- c2
constant for curvature/slope constraint (Wolfe condition 2)
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val
EPSILON: Double
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def
lsearch(x0: Double = 1.0, lo0: Double = 0.0, weak: Boolean = true): Double
Perform an inexact Line Search (LS) on the function 'f' to find a point 'x' that satisfies the Wolfe Conditions 1 and 2.
Perform an inexact Line Search (LS) on the function 'f' to find a point 'x' that satisfies the Wolfe Conditions 1 and 2.
- x0
the current point
- lo0
the lower bound for x
- weak
whether to use the weak (true) or strong (false) Wolfe conditions
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def
search(step: Double = 1.0): Double
Perform an inexact Line Search (LS) using the Wolfe approach with defaults.
Perform an inexact Line Search (LS) using the Wolfe approach with defaults.
- step
the initial step size
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