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  2. What Are Callable Bonds and How Do They Work? - AOL

    www.aol.com/finance/callable-bonds-161308719.html

    The specifics vary from bond to bond, but callable bonds always have one thing in common — the issuer can pay off the bond early. As an investor, there are potential benefits and drawbacks to ...

  3. Geometry Dash - Wikipedia

    en.wikipedia.org/wiki/Geometry_Dash

    Geometry Dash Lite is a free version of the game with advertisements and gameplay restrictions. Geometry Dash Lite includes only main levels 1-19, all tower levels, and a few selected levels that are either Featured, Daily, weekly or Event levels but does not offer the option to create levels or play most player-made levels. It also has a ...

  4. Convexity (algebraic geometry) - Wikipedia

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

    In algebraic geometry, convexity is a restrictive technical condition for algebraic varieties originally introduced to analyze Kontsevich moduli spaces ¯, (,) in quantum cohomology. [ 1 ] : §1 [ 2 ] [ 3 ] These moduli spaces are smooth orbifolds whenever the target space is convex.

  5. Callable bond - Wikipedia

    en.wikipedia.org/wiki/Callable_bond

    By issuing numerous callable bonds, they have a natural hedge, as they can then call their own issues and refinance at a lower rate. The price behaviour of a callable bond is the opposite of that of puttable bond. Since call option and put option are not mutually exclusive, a bond may have both options embedded. [3]

  6. Brouwer fixed-point theorem - Wikipedia

    en.wikipedia.org/wiki/Brouwer_fixed-point_theorem

    Convexity is not strictly necessary for Brouwer's fixed-point theorem. Because the properties involved (continuity, being a fixed point) are invariant under homeomorphisms , Brouwer's fixed-point theorem is equivalent to forms in which the domain is required to be a closed unit ball D n {\displaystyle D^{n}} .

  7. Convex function - Wikipedia

    en.wikipedia.org/wiki/Convex_function

    The concept of strong convexity extends and parametrizes the notion of strict convexity. Intuitively, a strongly-convex function is a function that grows as fast as a quadratic function. [11] A strongly convex function is also strictly convex, but not vice versa.

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