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  2. Convex function - Wikipedia

    en.wikipedia.org/wiki/Convex_function

    Equivalently, a function is convex if its epigraph (the set of points on or above the graph of the function) is a convex set. In simple terms, a convex function graph is shaped like a cup (or a straight line like a linear function), while a concave function's graph is shaped like a cap .

  3. Convex curve - Wikipedia

    en.wikipedia.org/wiki/Convex_curve

    A plane curve is the image of any continuous function from an interval to the Euclidean plane.Intuitively, it is a set of points that could be traced out by a moving point. More specifically, smooth curves generally at least require that the function from the interval to the plane be continuously differentiable, and in some contexts are defined to require higher derivative

  4. Bond convexity - Wikipedia

    en.wikipedia.org/wiki/Bond_convexity

    In finance, bond convexity is a measure of the non-linear relationship of bond prices to changes in interest rates, and is defined as the second derivative of the price of the bond with respect to interest rates (duration is the first derivative). In general, the higher the duration, the more sensitive the bond price is to the change in ...

  5. Convex analysis - Wikipedia

    en.wikipedia.org/wiki/Convex_analysis

    then is called strictly convex. [1]Convex functions are related to convex sets. Specifically, the function is convex if and only if its epigraph. A function (in black) is convex if and only if its epigraph, which is the region above its graph (in green), is a convex set.

  6. Convex graph - Wikipedia

    en.wikipedia.org/wiki/Convex_graph

    In mathematics, a convex graph may be a convex bipartite graph; a convex plane graph; the graph of a convex function This page was last edited on 28 ...

  7. List of convexity topics - Wikipedia

    en.wikipedia.org/wiki/List_of_convexity_topics

    Complex convexity — extends the notion of convexity to complex numbers. Convex analysis - the branch of mathematics devoted to the study of properties of convex functions and convex sets, often with applications in convex minimization. Convex combination - a linear combination of points where all coefficients are non-negative and sum to 1 ...

  8. Convex hull - Wikipedia

    en.wikipedia.org/wiki/Convex_hull

    For sets of points in general position, the convex hull is a simplicial polytope. [ 21 ] According to the upper bound theorem , the number of faces of the convex hull of n {\displaystyle n} points in d {\displaystyle d} -dimensional Euclidean space is O ( n ⌊ d / 2 ⌋ ) {\displaystyle O(n^{\lfloor d/2\rfloor })} . [ 22 ]

  9. Jensen's inequality - Wikipedia

    en.wikipedia.org/wiki/Jensen's_inequality

    Jensen's inequality generalizes the statement that a secant line of a convex function lies above its graph. Visualizing convexity and Jensen's inequality. In mathematics, Jensen's inequality, named after the Danish mathematician Johan Jensen, relates the value of a convex function of an integral to the integral of the convex function.