1. What is the main problem of interval computations? Why is this problem useful in practice?
2-3. Given the following number of people in each age bracket: [0, 20]: 1, [20, 30]: 2, [30, 50]: 1, compute the range of possible values of the variance.
4. Give two numerical examples when an optimizing compiler helps improve the interval estimate, and a numerical example when an optimizing compiler makes the excess width worse.
5-6. Use calculus to find the range of a function f(x1, x2) = (x1)2 - x1 * x2 +(1/2) * (x2)2 - x2 when x1 is in the interval [-1, 1], and x2 is in the interval [-3, 3]. Use naive interval computations to estimate this range.
7. Assuming that the computer uses 2 decimal digits,
compute the range of a - b * c, where a is in the interval
[0.8, 1.2], b is in the interval [0.7, 1.1], and c is in the interval [2.2, 3.3], with appropriate round-offs.
8-10. Estimate the range of function (1 + x) * (2 - x) on the interval [1.0, 3.0] by using the following methods:
11. A decision maker has three alternatives:
12. Use the interval-based optimization algorithm to locate the maximum of the function f(x) = x - x2 on the interval [0.2, 1.0]. Divide this interval into two, then divide the remaining intervals into two again, etc. Stop when you can locate the maximum with accuracy 0.1.
13-14. Use the constraints method to solve the following two problems:
15. Describe, in as many details as you can, one of class project presentations (different from your own).