• Since this is a concave function, it's not just the expected value.

    由于这是一个凹函数,它不仅仅是期望值。

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  • The graph of a concave function is always below its tangent.

    一个凹函数的图象总在它的切线的下方。

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  • In this paper, concave function and its properties are discussed. And concave function's application in optimization are shown as well.

    研究与凸函数对应的凹函数及其性质,并指出了凹函数在最优化中的应用。

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  • On the effect boundary, risk is return's rigid monotony increase by degrees convex function , return is risk's rigid monotony increase by degrees concave function.

    在有效前沿上,风险是收益的严格单调递增凸函数,收益是风险的严格单调递增凹函数。

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  • There are convex function and concave function, Which are of expansive application in many aspects, especially in inequality proof and error estimate.

    凸(凹)函数有很多特性,这些性质可广泛应用于不等式的证明及误差估计等方面。

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  • There are convex function and concave function, Which are of expansive application in many aspects, especially in inequality proof and error estimate.

    凸(凹)函数有很多特性,这些性质可广泛应用于不等式的证明及误差估计等方面。

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