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1. pareto.uab.cat › xvila › Micro_INotes on Concavity, Convexity, Quasiconcavity and Quasiconvexity

   pareto.uab.cat › xvila › Micro_I

   Definition 1. A function f : S ⊂ Rn → R defined on a convex set S is concave if for any two points x1 x2 ∈ , S and for any λ ∈ [0, 1] we have: λx1 (1 − λ) x2 ≥ λf(x1) (1 − λ)f(x2) + +. is called strictly concave if for any two points x1 , x2 ∈ S and for any λ ∈ (0, 1) we have: λx1 (1 − λ) x2 > λf(x1) (1 − λ)f(x2) + +.

2. math.ucr.edu › ~res › math153-2019Concave and Convex Functions - Department of Mathematics

   math.ucr.edu › ~res › math153-2019

   It is also possible to characterize concavity or convexity of functions in terms of the convexity of particular sets. Given the graph of a function, the hypograph of f,

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3. web.stanford.edu › 6-Python_FunctionsPython Functions - Stanford University

   web.stanford.edu › 6-Python_Functions

   Anatomy of a Function def main(): mid = average(10.6, 7.2) print(mid) def average(a, b): sum = a + b return sum / 2 Think/Pair/Share: Find the function definition, function name, parameter(s), and return value in average.

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4. www.mitrikitti.fi › concavity1 Concave and convex functions - Mitri Kitti

   www.mitrikitti.fi › concavity

   1 Concave and convex functions. Definition 1 A function f defined on the convex set C ⊂ Rn is called con-cave if for every x1, x2 ∈ C and 0 ≤ t ≤ 1, we have. f(tx1 + (1 − t)x2) ≥ tf(x1) + (1 − t)f(x2). Definition 2 A function f defined on the convex set C ⊂ Rn is called strictly concave if for every x1 6= x2,and 0 < t < 1, we have.

5. www.geeksforgeeks.org › convex-and-concave-functionsConvex and Concave Functions - GeeksforGeeks

   www.geeksforgeeks.org › convex-and-concave-functions

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   Sep 22, 2024 · Definition of Concave Functions. A function g (x) is called concave on an interval if, for any two points x_1 x1 and x_2 x2 in the interval and any \lambda \in [0, 1] λ∈ [0,1], the following holds: g (\lambda x_1 + (1-\lambda) x_2) \geq \lambda g (x_1) + (1-\lambda) g (x_2) g(λx1 +(1−λ)x2) ≥ λg(x1)+(1−λ)g(x2)

6. www.geeksforgeeks.org › concavity-and-points-ofConcavity and Points of Inflection - GeeksforGeeks

   www.geeksforgeeks.org › concavity-and-points-of

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   May 22, 2024 · Concavity provides valuable insights into how a function curves, distinguishing between concave upward and concave downward shapes, while points of inflection mark locations where the curvature changes sign.

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   How do you know if a function is concave?

   • Mathematically, a function f (x) is concave if for any two points x1 and x2 and any λ ∈ [0, 1], the following inequality holds: f (λx1 + (1 − λ)x2) ≥ λf (x1) + (1 − λ)f (x2). This inequality shows that the function’s graph lies above or along the line segment between any two points on the function. Features of Concave Functions using Graph

   Convex and Concave Functions - GeeksforGeeks

   www.geeksforgeeks.org/convex-and-concave-functions/

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   Why is concavity important?

   • Concavity provides valuable insights into how a function curves, distinguishing between concave upward and concave downward shapes, while points of inflection mark locations where the curvature changes sign.

   Concavity and Points of Inflection - GeeksforGeeks

   www.geeksforgeeks.org/concavity-and-points-of-inflection/

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   Why are concave functions important?

   • The importance of concave (and convex) functions from the optimization point of view lies in some properties of concave functions with regard to their extrema. Let f be a concave function defined on a convex set C ⊂ Rn. Then every local maximum of f at x∗ ∈ C is a global maximum of f over all C.

   1 Concave and convex functions - Mitri Kitti

   www.mitrikitti.fi/concavity.pdf

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   Is F a concave function?

   • f(x) ≤ f(x0) + f0(x0)(x − x0). It is strictly concave if and only if the inequality is strict for x 6= x0. Theorem 6 Let f be a differentiable function on the open convex set C ⊂ R. It is concave (strictly concave) if and only if f0 is a nonincreasing (decreasing) function. C. Then f is a concave function if and only if f ”(x) ≤ 0 for every x ∈ C.

   1 Concave and convex functions - Mitri Kitti

   www.mitrikitti.fi/concavity.pdf

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   How do we generalize concave functions?

   • We begin generalizing concave functions by recalling from the preceding chap-ter that the upper-level sets of concave functions are convex sets. Concavity of a function is a sufficient condition for this property, but not a necessary one. We define a family of functions by the convexity of their upper-level sets.

   1 Concave and convex functions - Mitri Kitti

   www.mitrikitti.fi/concavity.pdf

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   How do you analyze concavity if n 1 is separable?

   • the de nition of concavity.special case in which N > 1 is e ectively as easy to analyze as N = 1 is when the function is separable in the sense that it is the sum of univariate functions. For example, the function h(x1; 2) = ex1 + ex2 is separable. More generally, suppose Cn ar intervals a d let C = QCn. Then h : C ! R is separable i

   Concave and Convex Functions | Department of Mathematics

   math.ucr.edu/~res/math153-2019/concavity.pdf

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8. www.toptal.com › python › computational-geometry-inComputational Geometry in Python: From Theory to Application

   www.toptal.com › python › computational-geometry-in

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   When you have to compute an angle, you need to divide, or use some approximation (anything involving Pi, for example) or some trigonometric function. When you have to compute an angle in code , you’ll almost always be approximating.