Exercise · ZW-LINE-SEARCH-001 · ★☆☆ Basic
What does the Armijo condition require of the step \(\alpha\)?
Choose one option.
A That the gradient at the new point is zero B That \(f\) decreases sufficiently relative to \(f(x_k)\) C That \(\alpha\) is the global minimum of \(f\) D That \(\alpha\) is always equal to 1
Show answer B. That \(f\) decreases sufficiently relative to \(f(x_k)\)
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Explanation The condition asks for a sufficient decrease, not the exact minimum. The option about global minimization is a common error that confuses line search with exact minimization.
Line search is a procedure that chooses the step size \(\alpha\) along a descent direction \(p_k\) to reduce the value of the objective function .
\[f(x_k+\alpha p_k)\le f(x_k)+c_1\alpha\nabla f(x_k)^\top p_k\]
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