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2. Extreme point - Wikipedia

   en.wikipedia.org/wiki/Extreme_point

   In mathematics, an extreme point of a convex set in a real or complex vector space is a point in that does not lie in any open line segment joining two points of . In linear programming problems, an extreme point is also called vertex or corner point of S . {\displaystyle S.} [ 1 ]

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4. Krein–Milman theorem - Wikipedia

   en.wikipedia.org/wiki/Krein–Milman_theorem

   Krein–Milman theorem [2] — Suppose is a Hausdorff locally convex topological vector space (for example, a normed space) and is a compact and convex subset of . Then is equal to the closed convex hull of its extreme points: = ¯ (⁡ ()).

5. Dirac measure - Wikipedia

   en.wikipedia.org/wiki/Dirac_measure

   A diagram showing all possible subsets of a 3-point set {x,y,z}. The Dirac measure δ x assigns a size of 1 to all sets in the upper-left half of the diagram and 0 to all sets in the lower-right half. In mathematics, a Dirac measure assigns a size to a set based solely on whether it contains a fixed element x or not.

6. Exposed point - Wikipedia

   en.wikipedia.org/wiki/Exposed_point

   The two distinguished points are examples of extreme points of a convex set that are not exposed In mathematics, an exposed point of a convex set C {\displaystyle C} is a point x ∈ C {\displaystyle x\in C} at which some continuous linear functional attains its strict maximum over C {\displaystyle C} . [ 1 ]

7. 10 Hard Math Problems That Even the Smartest People in the ...

   www.aol.com/10-hard-math-problems-even-150000090...

   Goldbach’s Conjecture. One of the greatest unsolved mysteries in math is also very easy to write. Goldbach’s Conjecture is, “Every even number (greater than two) is the sum of two primes ...

8. Maximum and minimum - Wikipedia

   en.wikipedia.org/wiki/Maximum_and_minimum

   For example, x ∗ is a strict global maximum point if for all x in X with x ≠ x ∗, we have f(x ∗) > f(x), and x ∗ is a strict local maximum point if there exists some ε > 0 such that, for all x in X within distance ε of x ∗ with x ≠ x ∗, we have f(x ∗) > f(x). Note that a point is a strict global maximum point if and only if ...

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