Convex


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Convex

Curved, as in the shape of the outside of a circle. Usually referring to the price/required yield relationship for option-free bonds.

Convex

Describing a curve. Generally speaking, analysts use convex to describe the price-yield relationship of coupon bonds.
References in periodicals archive ?
Caption: Testing the convex surfaces was done by looking at interference fringes with a matching concave surface of known quality.
In order to get the unique optimal solution we have used the convex approach along with gradient based technique named as Lagrange multiplier which is one of the most constructive techniques for finding such maxima and minima.
Apart from the locally convex topology [beta](X) on M(X), there are two other locally convex structures on the space M(X) whose definitions are as follows.
Usually, denoising model is defined as one combination of a quadratic data fidelity term and a convex regularization term or a differential regularization, for example, convex but nonsmooth problem [30]
ii) For any fixed y [member of] K, u [member of] T(x), the mapping x [right arrow] <u, [eta](x, y)> is convex.
This article is structured as follows: section two introduces the standard model and studies the equivalence of the games induced by a convex and a concave transport cost function.
Note D is convex and since (Dn) is increasing we have
n] [right arrow] R is a continuously differentiable convex function.
j] be two vertices of the convex polygon that admit parallel lines of support, and have internal angles less than 180[degrees], as in the example of Fig.
They claim that their rules can be applied to develop other classes of convex polyhedra.
alpha]]t > 0 and [PHI] [member of] C((c,d), R) is convex, then
We will study a particular effect of geometry on the f-vector: if a polytope is close to a convex body whose boundary is sufficiently smooth, then the shape of the g-vector, and hence also of the f-vector is subject to additional constraints stronger than the ones of the general g-theorem.