Question

Lebesgue (“luh-beg”) constants give a way to quantitatively determine the accuracy of this task. It isn’t Bayesian optimization, but using a Gaussian process to perform this task is known as kriging. (15[1])The Whittaker-Shannon formula for this task works by using a sum of sinc (“sink”) functions to construct filtered signals, and is widely used in image anti-aliasing programs. The roots of Chebyshev (-5[1])polynomials are often selected for this task in order to minimize edge (*) oscillations called Runge’s (“roon-guh’s”) phenomenon that arise while implementing this task. (10[1])This task can be accomplished using splines, (-5[1])a type of piecewise polynomial, while another method for this task simply links points with linear (10[1])functions. For 10 points, name this process of estimating data points based between known values, contrasted with extrapolation. ■END■ (0[1])

ANSWER: interpolation [accept polynomial interpolation; accept spline interpolation; prompt on fitting or fitting data]
<AG, Other Science>
= Average correct buzz position

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Buzzes

PlayerTeamOpponentBuzz PositionValue
Cade ReinbergerRITColumbia Ly-α2915
Brian HoffCornell EarthRochester A59-5
Darryl WangRochester ACornell Earth8110
Karthik PrasadCornell FireRochester C88-5
Ethan MaddoxRochester BCornell Wind10410
Archita AmudhanRochester CCornell Fire1230

Summary

2023 ILLIAC (Cornell)2023-10-21Y475%25%50%71.33
2023 ILLIAC (Mainsite)2023-10-21Y8100%13%50%99.50