Here are some sample Maple assessment questions for this chapter.
Create a worksheet in which a user supplies numbers a, and b, and
then Maple determines the domain of the function
f( x,y) =
x2+a
y+b
The worksheet should also produce sketches of the domain and determine if it
is open, closed or neither; bounded or unbounded; and connected or not
connected. Be sure to consider each of the cases a positive, negative, or
zero.
Create a worksheet which solves the vibrating string problem
¶2u
¶t2
= a
¶2u
¶x2
for some constant a subject to the free end boundary conditions
¶u
¶x
( 0,t) = 0 and
¶u
¶x
( L,0) = 0
where L is the length of the string. Assume the string is plucked, so that
u( x,0) = f( x) and
¶u
¶t
( x,0) = 0
where f( x) is the shape of the initial string. Set up the
worksheet so that if a user supplies a, L, and the initial shape f( x) , then Maple produces the solution and animates the sum of
the fundamental and the first 3 harmonics (i.e., the 1st four terms in the
Fourier series solution).
It is often difficult or even impossible to solve the system of
equations fx = 0, fy = 0. However, we can use the fact that the
negative gradient of f( x,y) at a point (xn,yn) points in the direction of steepest descent of f(x,y) , which implies that if d > 0 is a small number and
( xn+1,yn+1) = ( xn,yn) -
dÑf( xn,yn)
then ( xn+1,yn+1) is closer to a minimum of f(x,y) than ( xn,yn) is. Use this fact to create a
worksheet which numerically approximates a minimum of f( x,y)
using an initial ''guess'' of ( x0,y0) .
Create a worksheet which allows a user to supply a data set (tn,yn) , n = 1,¼,N, where yn > 0 for all n, and then
minizes the total squared error function
E( C,k) =
N å n = 1
( ln( yn) - ktn - C )2
Then graph the data set ( tn,yn) along with the exponential fit
y = ekt+C
where C and k minimize E( C,k) .
Create a worksheet in which first a user supplies the coefficients a, b, c, d, and e of the curve
ax2+bxy+cy2 = dy+e
and then Maple uses Lagrange multipliers to determine the point(s) on the
curve closest to the origin, graphs the curve, and then labels the points on
the curve that are closest to the origin.