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One accepted Rosenbrock step gives different FR and PR+ coefficients
Example
For the Rosenbrock function , take and . With , , bounded search budgets , , and outer budget , the first accepted step is . Its FR and PR+ coefficients differ. The PR+ candidate ascends, so the safeguarded method restarts; for definiteness take and .
Facts & Assumptions
Given: The function, start and parameters in the Example, with exact arithmetic.
Fletcher–Reeves and safeguarded Polak–Ribière nonlinear conjugate gradients: ; FR uses , whereas the PR+ candidate uses ; a failed descent or norm test resets it to .
Wolfe and strong Wolfe line-search conditions: strong Wolfe requires Armijo decrease and .
Finite-budget bracketing and zoom for a strong Wolfe step: the first expansion trial is ; an Armijo failure calls zoom with endpoints , whose midpoint trials halve the positive endpoint while the same failure persists.
Verification
Given: The objective, initial point and budgets of the Example.
Differentiation gives , , , and with . At a parameter , write , , and . Then and .
Exact substitution into step 1.1 gives integer lower bounds for , in order : , , , , , , , , , and . Each lower bound exceeds , whereas every positive-trial Armijo right side is below . Thus the initial trial fails Armijo and the first nine zoom trials fail it as well. By [F3], remains fixed and the tenth zoom trial is .
At this trial, and . Exactly, The Armijo right side is , so Armijo holds. Also , so strong curvature holds. The search therefore returns this tenth midpoint.
Put . Because and , the coefficients are and . The FR direction is ; the PR+ candidate is . Exact values in step 3.1 give , , and . Hence It fails the descent safeguard for every . Thus the actual selected PR+ direction is and its restart flag is true; the ascending candidate is not the selected direction.
For comparison, the originally displayed trial is also a mathematically valid strong Wolfe step, but is not an output of this dyadic search. It gives , , , , and . Its Armijo bound is and , verifying both inequalities directly. With , its distinct coefficients are and ; these describe the hypothetical accepted update at , rather than the actual bounded-search trace above.
Depends on
- Fletcher–Reeves and safeguarded Polak–Ribière nonlinear conjugate gradients
- Finite-budget bracketing and zoom for a strong Wolfe step
- Wolfe and strong Wolfe line-search conditions
- The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
Used by
Nothing in the library uses this result yet.
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