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  2. Convex function - Wikipedia

    en.wikipedia.org/wiki/Convex_function

    It is also strongly convex (and hence strictly convex too), with strong convexity constant 2. The function () = has ″ =, so f is a convex function. It is strictly convex, even though the second derivative is not strictly positive at all points. It is not strongly convex.

  3. Modulus and characteristic of convexity - Wikipedia

    en.wikipedia.org/wiki/Modulus_and_characteristic...

    In mathematics, the modulus of convexity and the characteristic of convexity are measures of "how convex" the unit ball in a Banach space is. In some sense, the modulus of convexity has the same relationship to the ε-δ definition of uniform convexity as the modulus of continuity does to the ε-δ definition of continuity.

  4. Convection (heat transfer) - Wikipedia

    en.wikipedia.org/wiki/Convection_(Heat_transfer)

    Convection (or convective heat transfer) is the transfer of heat from one place to another due to the movement of fluid. Although often discussed as a distinct method of heat transfer, convective heat transfer involves the combined processes of conduction (heat diffusion) and advection (heat transfer by bulk fluid flow ).

  5. Strong convexity - Wikipedia

    en.wikipedia.org/?title=Strong_convexity&redirect=no

    Pages for logged out editors learn more. Contributions; Talk; Strong convexity

  6. Strictly convex space - Wikipedia

    en.wikipedia.org/wiki/Strictly_convex_space

    In mathematics, a strictly convex space is a normed vector space (X, || ||) for which the closed unit ball is a strictly convex set. Put another way, a strictly convex space is one for which, given any two distinct points x and y on the unit sphere ∂ B (i.e. the boundary of the unit ball B of X ), the segment joining x and y meets ∂ B only ...

  7. Logarithmically convex function - Wikipedia

    en.wikipedia.org/wiki/Logarithmically_convex...

    Strictly logarithmically convex if is strictly convex. Here we interpret log ⁡ 0 {\displaystyle \log 0} as − ∞ {\displaystyle -\infty } . Explicitly, f is logarithmically convex if and only if, for all x 1 , x 2 ∈ X and all t ∈ [0, 1] , the two following equivalent conditions hold:

  8. The Difference Between Convection and Conventional Ovens - AOL

    www.aol.com/lifestyle/food-difference-between...

    Cooking With Convection Since convection ovens work so fast, the foods don't have to be cooked for as long a time as in conventional ovens. Plus the temperature can be set lower, at about 25 ...

  9. Mirror descent - Wikipedia

    en.wikipedia.org/wiki/Mirror_descent

    We are also given differentiable convex function :, -strongly convex with respect to the given norm. This is called the distance-generating function , and its gradient ∇ h : R n → R n {\displaystyle \nabla h\colon \mathbb {R} ^{n}\to \mathbb {R} ^{n}} is known as the mirror map .