logarithmically convex function in Vietnamese

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1. SEE ALSO: Connected Set, Convex Function, Concave Polygon, Convex Hull, Convex Optimization Theory, Convex Polygon, Delaunay Triangulation, Simply Connected.

2. Convexity Convex Function: Function f defined on a convex set is convex if f(αx+(1−α)y) ≤ αf(x) +(1−α)f(y) (0 < α < 1) Equivalent definition: Function f is convex if its epigraph is a convex set.

3. A Concave function is also synonymously called Concave downwards, Concave down, convex upwards, convex cap or upper convex.

4. In mathematics, a Concave function is the negative of a convex function

5. A function f: Rn!Ris Convex if its domain is a Convex set and for

6. This paper considers the problem of minimizing a convex differentiable function subject to convex differentiable constraints.

7. Convex, concave, strictly Convex, and strongly Convex functions First and second order characterizations of Convex functions Optimality conditions for Convex problems 1 Theory of Convex functions 1.1 De nition Let’s rst recall the de nition of a Convex function

8. If is differentiable, being a Convex function is equivalent to

9. Convex polygon, a polygon which encloses a Convex set of points; Convex polytope, a polytope with a Convex set of points; Convex metric space, a generalization of the Convexity notion in abstract metric spaces; Convex function, when the line segment between any two

10. 21 Convex function of demand, convex distribution of price and an optimal model for coexistence of multi-prices are established.

11. The technical term for this is that this is called a convex function.

là rằng điều này được gọi là một chức năng lồi.

12. Loosely speaking, a function is Convex if it curves upwards like a bowl

13. In an energy / Convex function, the output doesn't vary too much and for a

14. Convex combination and Convex hull Convex combination of x1,

15. Convex functions • basic properties and examples • operations that preserve Convexity • the conjugate function • quasiConvex functions • log-concave and log-Convex functions • Convexity with respect to generalized inequalities

16. Convex meshes can collide with other Convex colliders and non-Convex meshes

17. In addition, the target function is convex; therefore, global optimum can be achieved in a training process.

18. convex

19. Function of Collimating lens: The Collimating lens is a common convex lens, where the diverging light enters, and the parallel light emits, and this convex lens acts as a straight line.

20. To the nonconvex programming, the article makes it local convexification by introducing a simple penalty function into the objective function, and solves it like solving convex programming.

21. All profiles convex to super-convex; exceptional muscle development

22. On the Convex and Convex-Concave Solutions of Opposing Mixed Convection Boundary Layer Flow in a Porous Medium If h and g are analytic in E, h is Convex in E and if f = h + [bar.g] is locally univalent in E, then the function f = h + [bar.g] is locally one-to-one, sense-preserving, and close-to-Convex …

23. 1 Convex Sets, and Convex Functions Inthis section, we introduce oneofthemostimportantideas inthe theoryofoptimization, that of a Convex set

24. Based on the distance concept in this paper, potential function and balance function are introduced and used to measure the uniformity of points distributed in a general convex polyhedron.

25. Convex Hull