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  2. 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 ...

  3. Convex function - Wikipedia

    en.wikipedia.org/wiki/Convex_function

    This characterization of convexity is quite useful to prove the following results. A convex function f {\displaystyle f} of one real variable defined on some open interval C {\displaystyle C} is continuous on C . {\displaystyle C.} f {\displaystyle f} admits left and right derivatives , and these are monotonically non-decreasing .

  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. Convexity in economics - Wikipedia

    en.wikipedia.org/wiki/Convexity_in_economics

    Convexity is a geometric property with a variety of applications in economics. [1] Informally, an economic phenomenon is convex when "intermediates (or combinations) are better than extremes". For example, an economic agent with convex preferences prefers combinations of goods over having a lot of any one sort of good; this represents a kind of ...

  6. 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.

  7. Convexity (finance) - Wikipedia

    en.wikipedia.org/wiki/Convexity_(finance)

    In mathematical finance, convexity refers to non-linearities in a financial model.In other words, if the price of an underlying variable changes, the price of an output does not change linearly, but depends on the second derivative (or, loosely speaking, higher-order terms) of the modeling function.

  8. Convex optimization - Wikipedia

    en.wikipedia.org/wiki/Convex_optimization

    Convex optimization can be used to model problems in a wide range of disciplines, such as automatic control systems, estimation and signal processing, communications and networks, electronic circuit design, [7]: 17 data analysis and modeling, finance, statistics (optimal experimental design), [21] and structural optimization, where the ...

  9. 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