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MULTIPLE CHOICE TEST

(All Tests)

Numerical Differentiation of Continuous Functions

(More on Continuous Differentiation)

DIFFERENTIATION

(More on Differentiation)

 

Pick the most appropriate answer.


Q1. The definition of the first derivative of a function f(x) is

 


 

Q2. The exact derivative of f(x)=x3 at x=5 most nearly is

25.00
75.00
106.25
125.00



 

Q3. Using the forward divided difference approximation with a step size of 0.2, the derivative of

f(x)=5e2.3x at x=1.25 most nearly is
258.8
163.4
211.1

203.8



 

Q4. A student finds the numerical value of d/dx(ex)=20.220 at x=3 using a step size of 0.2.  Which of the following methods did the student use to conduct the differentiation?

Backward divided difference

Calculus, that is, exact

Central divided difference
Forward divided difference



 

Q5. Using the backward divided difference approximation,  d/dx(ex)=4.3715 at x=1.5 for a step size of 0.05.  If you keep halving the step size to find d/dx(ex) at x=1.5 before two significant digits can be considered to be at least correct in your answer, the step size would be (you cannot use the exact value to determine the answer)

0.05/2
0.05/4
0.05/8
0.05/16



 

Q6. The heat transfer rate q over a surface is given by

       

where

       k = thermal conductivity (J/s-m-K) ,

       A= surface area (m2),

       T = temperature (K),

       y = distance normal to the surface,

the temperature T over the surface varies as

 

        T=-1493y3+2200y2-1076y+500,

        k=0.025 (J/s-m-K),

        A=3 m2

 

The heat transfer rate q in Watts at the surface most nearly is

-1076
37.5

80.7
500


 

Complete Solution

 

Multiple choice questions on other topics

 


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Copyrights: UnCreative Commons Licenseiversity of South Florida, 4202 E Fowler Ave, Tampa, FL 33620-5350. All Rights Reserved. Questions, suggestions or comments, contact kaw@eng.usf.edu  This material is based upon work supported by the National Science Foundation under Grant# 0126793, 0341468, 0717624,  0836981.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  Other sponsors include Maple, MathCAD, USF, FAMU and MSOE.  Numerical Methods for Undergraduates by http://numericalmethods.eng.usf.edu is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License.  Based on a work at numericalmethods.eng.usf.edu.