convex


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convex

 [kon´veks]
having a rounded, somewhat elevated surface.

con·vex

(kon'veks, kŏn-veks'),
Applied to a surface that is evenly curved outward, the segment of a sphere.
[L. convexus, vaulted, arched, convex, fr. con-veho, to bring together]

convex

/con·vex/ (kon´veks) having a rounded, somewhat elevated surface.convex´ity

convex

Etymology: L, convextus, vaulted
having a surface that curves outward. Compare concave.

con·vex

(kon-veks')
Applied to a surface that is evenly curved outward, as the segment of a sphere.
[L. convexus, vaulted, arched, convex, fr. con-veho, to bring together]

convex 

Having a surface curved like the exterior of a sphere. See converging lens; convex mirror.

con·vex

(kon'veks)
Denotes surface evenly curved outward, segment of a sphere.
[L. convexus, vaulted, arched, convex, fr. con-veho, to bring together]

convex

having a rounded, somewhat elevated surface.
convex face
see cis face.
convex sole
see dropped sole.
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References in periodicals archive ?
From this study we can conclude that one can gain the unique and best optimal solution by using the convex optimization approach in quadratic programming model.
ESTIMATION OF MAXIMUM RETURNS OF SUGARCANE PRODUCTION QUADRATIC PROGRAMMING MODEL USING GRADIENT AND CONVEX APPROACH
n]) of absolutely convex neighborhoods of zero in (E, [[tau].
gamma]] forms a base of neighborhoods of zero for a locally convex topology [gamma] := [gamma][[tau], [[tau].
More on the locally convex space (M(X), [beta] X)) of a locally compact Hausdorff space x
Referring to Figure 1, the best RMSE results for 1D TV denoising with convex [l.
Condat, "A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms," Journal of Optimization Theory and Applications, vol.
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Let K be a nonempty bounded closed convex subset of a real reflexive Banach space E and [E.
Variational-Like Inequalities for Weakly Relaxed [eta]-[alpha] Pseudomonotone Set-Valued Mappings in Banach Space
F(d) is a convex function then H(d') is a concave function ([[partial derivative].
La equivalencia del coste de transporte concavo y convexo en un mercado circular con y sin zonificacion
The inverse optimization problem corresponding to linear programming problem (1) can be turned into a class of convex programming problem similar to programming problem (3) equivalently.
Linear programming problem for nonlinear convex set constraints based on nonlinear neural network
In closing this sub-section it is worth noting that the rotating calipers have also be used to find minimum-area enclosing triangles [20], [21], squares [22], minimum-perimeter enclosures [23], and the densest double-lattice packing of a convex polygon [24].
Applications of the rotating calipers to geometric problems in two and three dimensions
Finally, in Section 5 we present several families of exponentially convex functions which fulfil the conditions of our results.
Improvements of Jensen-type inequalities for diamond-[alpha] integrals
A polytope P is the convex hull of finitely many points in a Euclidean space; equivalently it is a bounded intersection of finitely many closed half-spaces.
The lower bound theorem for polytopes that approximate [C.sup.1]-convex bodies
For any integer k, k [less than or equal to] 3, determine the smallest positive integer H(k) such that any planar point set in general position that has at least H(k) points contains k points that are the vertices of a an empty convex k-gon, i.
Two player game variant of the Erdos-Szekeres problem

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