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.
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Caption: Testing the convex surfaces was done by looking at interference fringes with a matching concave surface of known quality.
A Lens to Grind: With skill and patience, this rare project is greatly rewarding
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.
ESTIMATION OF MAXIMUM RETURNS OF SUGARCANE PRODUCTION QUADRATIC PROGRAMMING MODEL USING GRADIENT AND CONVEX APPROACH
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.
More on the locally convex space (M(X), [beta] X)) of a locally compact Hausdorff space x
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]
A General Proximal Alternating Minimization Method with Application to Nonconvex Nonsmooth 1D Total Variation Denoising
ii) For any fixed y [member of] K, u [member of] T(x), the mapping x [right arrow] <u, [eta](x, y)> is convex.
Variational-Like Inequalities for Weakly Relaxed [eta]-[alpha] Pseudomonotone Set-Valued Mappings in Banach Space
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.
La equivalencia del coste de transporte concavo y convexo en un mercado circular con y sin zonificacion
Note D is convex and since (Dn) is increasing we have
Monch type results for maps with weakly sequentially closed graphs
n] [right arrow] R is a continuously differentiable convex function.
Linear programming problem for nonlinear convex set constraints based on nonlinear neural network
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.
Applications of the rotating calipers to geometric problems in two and three dimensions
They claim that their rules can be applied to develop other classes of convex polyhedra.
Mathematicians find a new class of solid shapes after 400 years
alpha]]t > 0 and [PHI] [member of] C((c,d), R) is convex, then
Improvements of Jensen-type inequalities for diamond-[alpha] integrals
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.
The lower bound theorem for polytopes that approximate [C.sup.1]-convex bodies

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