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  2. Second derivative - Wikipedia

    en.wikipedia.org/wiki/Second_derivative

    The second derivative of a function f can be used to determine the concavity of the graph of f. [2] A function whose second derivative is positive is said to be concave up (also referred to as convex), meaning that the tangent line near the point where it touches the function will lie below the graph of the function.

  3. Derivative test - Wikipedia

    en.wikipedia.org/wiki/Derivative_test

    Specifically, a twice-differentiable function f is concave up if ″ > and concave down if ″ <. Note that if f ( x ) = x 4 {\displaystyle f(x)=x^{4}} , then x = 0 {\displaystyle x=0} has zero second derivative, yet is not an inflection point, so the second derivative alone does not give enough information to determine whether a given point is ...

  4. Concave function - Wikipedia

    en.wikipedia.org/wiki/Concave_function

    Points where concavity changes (between concave and convex) are inflection points. [5] If f is twice-differentiable, then f is concave if and only if f ′′ is non-positive (or, informally, if the "acceleration" is non-positive). If f ′′ is negative then f is strictly concave, but the converse is not true, as shown by f(x) = −x 4.

  5. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    In mathematics, the derivative is a fundamental tool that quantifies the sensitivity to change of a function's output with respect to its input. The derivative of a function of a single variable at a chosen input value, when it exists, is the slope of the tangent line to the graph of the function at that point.

  6. printf - Wikipedia

    en.wikipedia.org/wiki/Printf

    printf is a C standard library function that formats text and writes it to standard output. The name, printf is short for print formatted where print refers to output to a printer although the functions are not limited to printer output. The standard library provides many other similar functions that form a family of printf-like functions.

  7. Fenchel's duality theorem - Wikipedia

    en.wikipedia.org/wiki/Fenchel's_duality_theorem

    f and g are lower semi-continuous and ⁡ (⁡ ⁡) where is the algebraic interior and ⁡, where h is some function, is the set {: < +}, or A dom ⁡ f ∩ cont ⁡ g ≠ ∅ {\displaystyle A\operatorname {dom} f\cap \operatorname {cont} g\neq \emptyset } where cont {\displaystyle \operatorname {cont} } are the points where the function is ...

  8. Concavification - Wikipedia

    en.wikipedia.org/wiki/Concavification

    In mathematics, concavification is the process of converting a non-concave function to a concave function. A related concept is convexification – converting a non-convex function to a convex function. It is especially important in economics and mathematical optimization. [1]

  9. Proof of Bertrand's postulate - Wikipedia

    en.wikipedia.org/wiki/Proof_of_Bertrand's_postulate

    In mathematics, Bertrand's postulate (now a theorem) states that, for each , there is a prime such that < <.First conjectured in 1845 by Joseph Bertrand, [1] it was first proven by Chebyshev, and a shorter but also advanced proof was given by Ramanujan.