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You need only hand in question 1 and one of questions 2 and 3 on this
handout. (For extra credit you may hand in both of these.)
Problem 1
This problem deals with least squares fitting of the function
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where a,b, and c are constants.
- a)
- Using Maple, derive formulas for the least squares
approximation of this function to a set of data
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Recall that this involves the steps:
- Enter an expression for the total square error.
- Differentiate this with respect to a,b, and c.
- Solve the equations determining a critical point
for the variables a,b, and c.
Use our sample least squares worksheet as a reference here.
- b)
- The file :Math 222:lib:Ammonia Data inside the
Maple folders in the lab contains contains a table of data for
Ammonia.
The format is three numbers per line. The first entry is a
temperature T, the second a pressure P, and the third a
compressibility factor z. Use your formula from part a) to
estimate a,b, and c from the data file.
Here z is the compressibility factor (
), T is the
temperature and P is the pressure. (Thus for an ideal gas, z would just
be 1.) This formula is known as Berthelot's approximation to the
equation of state.
Problem 2
Let
.
- a)
- Using the Maple function mtaylor, calculate
the Taylor series
of orders k=1,2, and 4 about
.
- b)
- By using Maple's plot3d command for the
function
, estimate the maximum error in replacing
the function f by each of these Taylor polynomials in the region
and
.
- c
- ) Similarly estimate the maximum error in replacing
by
in the region
and
.
Problem 3
Let
- a)
- Using Maple (or by hand) , calculate the Taylor
series of
to order 2 about
.
- b)
- Use plot3d in Maple to estimate the maximum
values of all third partial derivatives of
for
the region
and
.
- c)
- Use the results of b) to find a reasonable
estimate of how big L can be so that the quadratic approximation
approximates
within .000001 for the region
and
.
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