The table below shows the drag coefficient cp of a sphere as a function of Reynold's number Re. 2000 20,000 Re 0.2 2 20 200 cp 103 13.9 2.72 0.800 0.401 0.433 (a) Use a natural cubic spline to find cp at Re = 5, 50, 500, and 5000. Plot the experi- mental data and your interpolating spline. Hint: Use a log-log scale and the spline command. (b) Solve using a polynomial interpolant intersecting four nearest-neighbour data points (but do not use a log scale). Which is the better approach and why?

The table below shows the drag coefficient cp of a sphere as a function of Reynold's number Re. 2000 20,000 Re 0.2 2 20 200 cp 103 13.9 2.72 0.800 0.401 0.433 (a) Use a natural cubic spline to find cp at Re = 5, 50, 500, and 5000. Plot the experi- mental data and your interpolating spline. Hint: Use a log-log scale and the spline command. (b) Solve using a polynomial interpolant intersecting four nearest-neighbour data points (but do not use a log scale). Which is the better approach and why?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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