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<div class="moz-cite-prefix">For part A you build the code for the
Lagrange interpolating polynomial for both sets of data. You
could try to plot your curve it for both cases to make your life
easier. Then in part B you find the maximum of the Lagrange
function for both curves.<br>
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<div class="moz-cite-prefix">Not really sure what you are asking
when it comes to finding the constants. If you are asking about
the A,B,C,D values that are the coefficients for the cubic spline,
then the answer is yes.</div>
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<div class="moz-cite-prefix">On 10/8/23 13:12, Abigail Lee Van Pelt
wrote:<br>
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cite="mid:227f976e63ab43a1a64cef2817f429d0@SA1PR01MB6528.prod.exchangelabs.com">
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Dear Dr. Pounds,</div>
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I am working on Section 3.1 question 20, and I'm wondering what
'approximate the average weight curve for each sample" means.
Does it mean finding the slope at each sample or do I have to
produce the actual function? </div>
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Also, for your question, do we have to solve for a different set
of constants for each point on our cubic spline? </div>
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Thank you,</div>
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Abigail Van Pelt </div>
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<div class="moz-signature">-- <br>
<b><i>Andrew J. Pounds, Ph.D.</i></b><br>
<i>Professor of Chemistry and Computer Science</i><br>
<i>Director of the Computational Science Program</i><br>
<i>Mercer University, Macon, GA 31207 (478) 301-5627</i></div>
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