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Everything about Bernstein Polynomial totally explained

» For the Bernstein polynomial in D-module theory, see Bernstein-Sato polynomial.

In the mathematical subfield of numerical analysis, a Bernstein polynomial, named after Sergei Natanovich Bernstein, is a polynomial in the Bernstein form, that's a linear combination of Bernstein basis polynomials.
   A numerically stable way to evaluate polynomials in Bernstein form is de Casteljau's algorithm.
   Polynomials in Bernstein form were first used by Bernstein in a constructive proof for the Stone-Weierstrass approximation theorem. With the advent of computer graphics, Bernstein polynomials, restricted to the interval x ∈ [0, 1], became important in the form of Bézier curves.

Definition

The n + 1 Bernstein basis polynomials of degree n are defined as » b_ ight) ight)-f(x) ight|>varepsilon/2 ight)=0. And so the second probability above approaches 0 as n grows. But the second probability is either 0 or 1, since the only thing that's random is K, and that appears within the scope of the expectation operator E. Finally, observe that E(f(K/n)) is just the Bernstein polynomial Bn(f,x).

Further Information

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