y' = 3x - y, y(1) = 4, numerically on [1,2].
2. Use the Improved Euler method for n = 2 iterations (h = 0.5) to solve the IVP,y' = 3x - y, y(1) = 4, numerically on [1,2].
3. Use the second order Taylor method for n = 2 iterations (h = 0.5) to solve the IVP,
y' = 3x - y, y(1) = 4, numerically on [1,2].
4. Use the fourth order Runge-Kutta method for n = 2 iteration (h = 0.5) to solve the IVP,
y' = 3x - y, y(1) = 4, numerically on [1,2].
5. a. Solve the IVP above algebraically. It's a first order linear.
b. Find y(2) so that you can see how close the graphical and various numerical methods came to the actual value of y(2).
c. Produce a small table indicating the four methods used and their results. Write a paragraph declaring the relative merits for the five methods and some reason(s) for using more than one method.
6. Solve this system of linear IVP's numerically on the interval [0,2], using the Euler method with n = 2 iterations (h = 1).
x' = 2x - y - t, x(0) = 27. Solve this system of linear IVP's numerically on the interval [0,2], using the Runge-Kutta method with n = 1 iteration (h = 2).
x' = 2x - y - t, x(0) = 28. Give the Fourier series for the periodic function
{ 2 for -4 <= x < 0 }
f(x)
=
{ } , f(x +
8) = f(x)
{ x+2 for 0 <= x < 4 }
9. a. Find the general product solution to the partial differential equation by the method of separation of variables.
Ux = x y 2 Uy - 2U b. Apply the boundary condition U(0,y) =
4 e 6/y to the general product solution above to find the solution
to the Boundary
Value Problem.