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It is well-known that, under the $L$-smoothness assumption ($\\|\\nabla^2 f(x)\\| \\leq L$), the optimal point minimizing the quadratic upper bound $f(x_k) + \\langle\\nabla f(x_k), x_{k+1} - x_k\\rangle + \\frac{L}{2} \\|x_{k+1} - x_k\\|^2$ is $x_{k+1} = x_k - \\gamma_k \\nabla f(x_k)$ with step size $\\gamma_k = \\frac{1}{L}$. 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It is well-known that, under the $L$-smoothness assumption ($\\|\\nabla^2 f(x)\\| \\leq L$), the optimal point minimizing the quadratic upper bound $f(x_k) + \\langle\\nabla f(x_k), x_{k+1} - x_k\\rangle + \\frac{L}{2} \\|x_{k+1} - x_k\\|^2$ is $x_{k+1} = x_k - \\gamma_k \\nabla f(x_k)$ with step size $\\gamma_k = \\frac{1}{L}$. 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