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ml-recall

#quadratic-form

1 question from Optimization & Calculus

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Question 1: Single choice

mediumAI-checkedOptimization & Calculus

For a general square matrix AA (not necessarily symmetric), what is the gradient of J(w)=w⊤AwJ(\mathbf{w}) = \mathbf{w}^\top A \mathbf{w} with respect to the column vector w\mathbf{w}?

Choose one option